Jörg Bohlmann is a Professor in the Department of Forest and Conservation Sciences at the University of British Columbia , affiliated with the Michael Smith Laboratories, Botany Department (Faculty of Science), and Wine Research Centre. His research spans genomics, biochemistry, and chemical ecology of plant specialized metabolism, focusing on terpenoids and phenolics for applications in forest health and bioproducts. Research Streams : Plant defense against insects/pathogens, metabolic engineering of bioproducts, forest genomics, and molecular evolution of terpenoid pathways. Collaborations : National and international partnerships with academia, government, and biotech industries. Recent Publications highlight genomic insights into Western Redcedar (2023), including its low genetic diversity and adaptation mechanisms despite self-fertilization. Earlier work (2001–2022) covers conifer defense systems, Arabidopsis terpenoid pathways, cannabis flavor genetics, and mass spectrometry infrastructure. Scientific Awards include: NSERC E.W.R. Steacie Fellow (2015), Fellow of the Royal Society of Canada (2015), Feodor Lynen Postdoctoral Fellowship (1995–1998), and Distinguished University Scholar (UBC). Funding Sources : NSERC (Discovery/Strategic grants), CFI, Genome Canada/BC, provincial/federal agencies. Labs & Facilities : Michael Smith Laboratories (UBC), National Centre of Excellence, Forest Sciences Centre, and a dedicated mass spectrometry lab for metabolite analysis.
Professor Huibing Zhang is a Professor of Management at the Naveen Jindal School of Management, University of Texas at Dallas. He holds a Ph.D. in Economics from Duke University (1994) and a B.S. from Shanghai Jiao Tong University, China (1984). Prior to his current position, he served as Associate Professor at the University of North Carolina at Chapel Hill (2000–2005) and Assistant Professor at Carnegie Mellon University (1994–2000). Education: Ph.D. in Economics, Duke University, 1994 B.S., Shanghai Jiao Tong University, China, 1984 His research focuses on financial economics, tax policy, and asset pricing. Key areas include the impact of capital gains taxes on asset prices, behavioral finance, and optimal portfolio strategies. He explores topics such as model uncertainty in financial markets, external habits affecting stock returns, and optimal consumption decisions under borrowing constraints. His work integrates theoretical frameworks with practical applications in taxation and investment planning. Awards and Honors: Fellow, TIAA-CREF Institute TIAA-CREF Paul A. Samuelson Award (2004) for outstanding work on optimal asset location and allocation Barclays Global Investors/Michael Brennan Runner-Up Award (2002) for research on optimal consumption and investment with capital gains taxes Undergraduate Economics Teaching Award, Carnegie Mellon University (1998) BP America Research Chair, Carnegie Mellon University (1995–1996) Grants and Contracts: Taxes, Estate Planning and Financial Theory: New Insights and Perspectives (Q-Group, 2002; TIAA-CREF, 2002) Diversification and Capital Gains Taxes with Multiple Risky Assets (TIAA-CREF, 2001) Optimal Asset Location and Allocation with Taxable and Tax-Deferred Investing (TIAA-CREF, 2000) Optimal Portfolio Choice and Consumption with Capital Gains Taxes (TIAA-CREF, 1999) Carnegie Mellon Faculty Development Fund (1998–1999)
Michaela Bürger-Koftis serves as Associate Professor in the Department of Modern Languages and Cultures at the University of Genoa's School of Humanities. Her teaching portfolio includes advanced courses such as German Literature and Culture III , German Linguistics (LM) , and Cultures of German-speaking Countries across undergraduate and master's programs focused on teaching, publishing, and intercultural communication. Her research investigates polyphonic structures in multilingual literature, with emphasis on German-Russian linguistic intersections and autobiographical narratives. Key projects explore lyrical diary forms and creative writing through the lens of polyphony, examining how multilingual expression shapes narrative identity and literary innovation in contemporary works. Recent publications demonstrate consistent focus on the Polyphony research initiative, revealing evolving methodologies in multilingual creativity and writing. This work establishes frameworks for analyzing cross-linguistic literary production while documenting the project's development from 2018-2023. No scientific awards are documented in available sources. While specific student advisees remain unlisted, Bürger-Koftis contributes to academic governance as a member of the School of Humanities Library Board. Her collaborative research with institutions like Catania University demonstrates institutional partnership development within multilingual literary studies. The Polyphony project functions as an interdisciplinary research hub with dedicated web infrastructure, facilitating scholarly exchange on multilingual writing practices and serving as a model for digital humanities collaboration in literary studies.
Philip Evans serves as Professor in the Department of Wood Science at the University of British Columbia's Faculty of Forestry, holding the British Columbia Leadership Chair in Advanced Forest Products Manufacturing Technology. He maintains an additional affiliation as Honorary Professor in the Department of Materials Physics at The Australian National University, reflecting his international research impact in sustainable forest products. His academic foundation includes a First Class BSc (summa cum laude) and Ph.D. from the University of Wales Bangor, followed by postdoctoral research at Abertay University in Scotland. Career progression led him from Lecturer to Professor and Director of ANU’s Centre for Science & Engineering of Materials before his current UBC appointment. Professor Evans' research integrates molecular-scale wood modification using plasma technology with practical material development. His portfolio addresses critical industrial challenges through plasma-modified wood surfaces for light absorption, X-ray micro-CT/VR systems for wood microstructure analysis, sustainable alternatives to old-growth mahogany in musical instruments, aerospace panel enhancements, and AI-driven detection of illegal timber trade. This dual focus on fundamental science and translational applications drives innovation in replacing non-sustainable materials. His exceptional contributions are recognized by: DOW Chemical Company Distinguished Lecturer Fellow of International Academy of Wood Science Fellow of Institute of Materials, Minerals & Mining Commonwealth Forestry Association Medal (Americas) Japanese Ministry for Science & Technology Research Award Oxford Commonwealth Forestry Bureau Book Prize As director of the Wood Surface Science Lab, he actively collaborates with industry partners to solve complex technical problems in forest products manufacturing, while mentoring junior colleagues through his integrated research-teaching approach. Current projects emphasize sustainable material development and advanced analytical techniques for global forestry challenges.
Liming Feng is an Associate Professor at the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, and has served as Director of the Master of Science in Financial Engineering (MSFE) program since 2022. His academic career at the university spans from Assistant Professor (2006-2012) to his current role. He earned his Ph.D. in Industrial Engineering and Management Sciences from Northwestern University (2006), an M.S. in Mathematics from Northwestern University (2000), and a B.S. in Mathematics from Beijing Normal University (1997). Ph.D., Industrial Engineering and Management Sciences, Northwestern University, 2006 M.S., Mathematics, Northwestern University, 2000 B.S., Mathematics, Beijing Normal University, 1997 Feng’s research focuses on Financial Engineering, Stochastic Modeling, and Computational Methods. He has contributed extensively to quantitative finance, particularly in options pricing, portfolio optimization, and market impact models. His work leverages advanced numerical methods, Fourier transforms, and stochastic calculus to solve complex financial problems. The trends in his publications highlight expertise in Levy processes, jump diffusion models, and numerical algorithms for financial derivatives. He has developed innovative techniques for Bermudan options pricing, discretely monitored barrier options, and portfolio deleveraging strategies. His articles often intersect Operations Research with Financial Engineering, emphasizing computational efficiency and mathematical rigor. ISE Faculty Fellow (2025) INFORMS Financial Services Section Best Student Research Paper (2013) First runner-up of the 2012 Morgan Stanley Prize for Excellence in Financial Markets Feng has served on editorial boards for Operations Research Letters and Mathematical Finance . He has been recognized repeatedly for teaching excellence, including the Sharp Outstanding Teaching Award (2011, 2022) and multiple entries in the List of Teachers Ranked as Excellent by Their Students (2007-2024). He currently leads the MSFE program and contributes to curriculum development through courses like IE 522 (Statistical Methods in Finance) and IE 527 (MSFE Professional Development).
Steve Mussmann serves as an Assistant Professor in the School of Computer Science at the Georgia Institute of Technology, where he joined in Fall 2024. His research centers on data-centric machine learning, with emphasis on active labeling, data selection, and adaptive experimental design methodologies. He maintains active collaborations through Georgia Tech's Foundations of AI (FoAI) and ML@GT research groups. Mussmann earned his PhD in Computer Science from Stanford University in 2021 under Percy Liang's supervision, following a BS in Math, Statistics, and Computer Science from Purdue University in 2015. His professional trajectory includes a machine learning researcher role at Coactive AI and an IFDS postdoctoral fellowship at the University of Washington's Paul Allen School of Computer Science and Engineering. His research program investigates theoretical and practical aspects of data efficiency in machine learning systems, particularly focusing on active learning frameworks, statistical properties of data algorithms under concept drift, and task specification via prompts or demonstrations. Current projects address challenges in label-efficient training of large language models and multimodal dataset development. Analysis of his 15 most recent publications reveals a consistent focus on advancing data-centric methodologies, with increasing emphasis on large-scale applications like multimodal datasets and language model fine-tuning. His work bridges theoretical guarantees in experimental design with practical frameworks like LabelBench for benchmarking label efficiency. Mussmann has received recognition through the IFDS postdoctoral fellowship. His contributions to the field include foundational work on active learning theory and data selection algorithms. IFDS postdoctoral fellow He currently advises five graduate students including PhD candidates Kangping Hu (CS) and Hangyu Zhou (ML), alongside MS students Kabir Kang and Kalp Vyas, and undergraduate Saloni Bedi. Former advisee Wei-Liang (Edison) Liao completed BS research under his supervision. His teaching portfolio includes graduate courses CS 7545 (Machine Learning Theory) and CS 8803-DML (Data-centric Machine Learning). Mussmann operates within Georgia Tech's Foundations of AI initiative and ML@GT collective, which provide infrastructure for large-scale data-centric research. His lab develops open-source tools like LabelBench for reproducible evaluation of data selection techniques, with ongoing projects exploring video data exploration systems and adaptive finetuning frameworks for foundation models.
Stefano NASINI is an Associate Professor at the University of Lille 3, specializing in Quantitative Methods within the Economics and Mathematics Sciences. He holds a HDR (Habilitation à Diriger des Recherches) from the University of Lille 3 (2021), a Ph.D. in Statistics and Operations Research from the Polytechnic University of Catalonia (2015), and a Master in Statistics (2011). His research focuses on optimization, complex networks, statistical inference, and microeconomic applications. He has held academic positions including a post-doctoral role at IESE Business School (2014–2016) and a visiting researcher role at the University of Lisbon (2014). His work spans scheduling optimization, network analysis, financial contagion modeling, and energy system planning. Key contributions include specialized algorithms for large-scale optimization problems and frameworks for decentralized portfolio management. He is a member of the LEM research group and teaches courses in optimization, econometrics, and social network analysis at the Grande École and MSc levels. Publications highlight interdisciplinary applications, including network-based diffusion models, multi-market financial strategies, and dynamic choice analysis. His research bridges theoretical advancements in operations research with practical challenges in economics, energy, and transportation systems. No scientific awards are explicitly listed in the provided materials. His advising roles and grants are not detailed here, but his extensive publication record reflects active collaboration within academic and applied domains.
Dr. Xinan Zhang is an Associate Professor in the School of Engineering at The University of Western Australia (UWA), specializing in Electrical, Electronic, and Computer Engineering. He holds a BEng from Fudan University (2008) and a PhD from Nanyang Technological University (2014). Before joining UWA in 2019, he held roles as a Lecturer and Research Fellow in Singapore and Australia. His research focuses on power electronics, electrical machine drives, and renewable energy, with over 60 top-tier publications. He is the Portfolio Lead for Industry Engagement in UWA's School of Engineering and co-leads the Power and Clean Energy (PACE) research group. Education: BEng in Electrical Engineering, Fudan University (2004–2008) PhD in Electrical Engineering, Nanyang Technological University (2010–2014) Research Interests: Dr. Zhang’s work spans power electronics, renewable energy systems, energy storage, and smart grid technologies. He emphasizes practical applications, such as battery management systems for vanadium redox flow batteries and adaptive control strategies for microgrids. His contributions address challenges in energy efficiency, grid stability, and sustainable power solutions. Articles & Trends: Recent publications focus on advanced control algorithms for inverters, battery modeling, and renewable energy integration. His work combines data-driven methods with traditional control theory to enhance system efficiency and reliability. Notable areas include DC microgrid control, vanadium redox flow battery optimization, and model predictive control for power electronics. Awards: Listed in Stanford University’s Top 2% Scientists (2020–2022) Grants & Collaborations: He leads or co-leads projects funded by the Australian government and industry partners, including the GenX Betavoltaic Battery Pilot Manufacturing Process and Mine Electrification . These projects aim to advance clean energy technologies and industrial applications. Labs & Teams: As co-lead of the PACE group, he fosters interdisciplinary collaboration to tackle global energy challenges, aligning with UN Sustainable Development Goals for affordable and clean energy (SDG 7).
Dr. Akhilesh Jaiswal serves as Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison, where his research pioneers device-circuit co-design for next-generation computing systems. His work focuses on enabling extreme-edge intelligence through processing-in-pixel technology, in-memory computing architectures, and bio-inspired neuromorphic systems. His academic credentials include: PhD in Nano-electronics from Purdue University (2019) MS from the University of Minnesota (2014) Bachelor of Technology from Shri Guru Gobind Singhji Institute of Engineering and Technology (2011) Dr. Jaiswal's research program centers on revolutionizing edge computing through hardware innovations that integrate sensing and processing. His device-circuit co-design approach leverages alternate state variables to create energy-efficient systems for real-time applications, with particular emphasis on retina-inspired sensors and photonic memory architectures. This work bridges semiconductor physics with AI acceleration needs, targeting applications from autonomous systems to biomedical devices. Analysis of his 2023-2025 publications reveals dominant themes in photonic SRAM-based in-memory computing (40% of output), retina-inspired motion processing (30%), and secure hardware architectures (20%). His team consistently develops novel bitcell designs that enable XOR logic execution within memory arrays while maintaining compatibility with CMOS fabrication processes. Recent work shows increasing focus on biomedical applications of processing-in-pixel technology. His distinguished recognition includes: Three consecutive ISI Exploratory Research Awards (2020-2023) IEEE Brain Community Best Paper Award (2022) 27 issued US patents with multiple pending applications Nomination for USC Moore Inventor Fellowship (2022) Dr. Jaiswal actively mentors graduate researchers through ECE 790/890/990 courses while securing exploratory funding through ISI and Keston Foundation awards. His patent portfolio demonstrates exceptional translational impact, with industry game-changer classifications from USPTO. The 2022 VLSI-SoC nomination and multiple research highlights in major outlets validate his contributions to hardware security and neuromorphic vision sensors. His laboratory develops integrated hardware platforms combining magnetic tunnel junctions, photonic memory, and CMOS image sensors to create unified processing-in-sensor systems. Current projects include retina-inspired motion segmentation for event cameras and electro-optic frequency transducers for quantum computing interfaces, with strong industry collaboration through patent licensing.
Anirban Paul is an Associate Professor in the Department of Neuroscience and Experimental Therapeutics at Pennsylvania State University, affiliated with the Penn State Neuroscience Institute. His research focuses on cellular and molecular mechanisms of GABAergic inhibitory circuits, with particular emphasis on interneuron biology and its implications in neurological disorders. Dr. Paul's research spans multiple neuroscience domains, with primary focus on GABAergic inhibitory circuits and interneuron biology. His work investigates how specific neuron subtypes, particularly Chandelier cells and cortical interneurons, contribute to brain function and dysfunction. He has made significant contributions to understanding the role of these cells in schizophrenia, Alzheimer's disease, and other neurological conditions. His research integrates molecular, cellular, and systems-level approaches to uncover fundamental mechanisms of neural circuit assembly, plasticity, and function. Key areas include RNA regulation in neuronal development, transcriptomic subtypes of inhibitory neurons, and cell-type specific vulnerabilities in neurodegenerative diseases. His research portfolio demonstrates consistent productivity with publications spanning from 2003 to 2025, showing an evolving focus from basic molecular neuroscience to translational research in neurological disorders. Recent work emphasizes single-cell analysis techniques and the role of specific interneuron populations in disease mechanisms, particularly in schizophrenia and Alzheimer's disease. His publications appear in high-impact neuroscience journals including Neuron, BMC Biology, and Frontiers in Cellular Neuroscience. Dr. Paul has received the NARSAD Young Investigator Award (2018), recognizing his promising research in neuroscience. His scientific contributions have been supported by multiple competitive grants from prestigious organizations including the National Institute on Aging (NIA) and the Brain and Behavior Research Foundation. He serves as Principal Investigator on multiple active research projects, including two major grants from the National Institute on Aging focused on cell-type specific risk and resilience in Alzheimer's disease and aging (2021-2024 and 2024-2026), as well as previous projects from the Brain and Behavior Research Foundation investigating Chandelier cells in schizophrenia. His research program demonstrates sustained funding and scientific leadership in the field of interneuron biology and its clinical implications.
Wei Xiong is the Hugh Leander and Mary Trumbull Adams Professor in Finance and Professor of Economics at Princeton University, affiliated with the Department of Economics and Bendheim Center for Finance. His research centers on behavioral finance and capital market imperfections with a focus on China's financial system and commodity markets. His educational background includes: Ph.D. in Finance from Duke University (2001) B.S. in Physics from University of Science and Technology of China (1993) Research Interests: Professor Xiong's work fundamentally explores behavioral finance and capital market imperfections , pioneering studies on speculative bubbles , heterogeneous beliefs in asset pricing , and financing frictions . His recent scholarship critically examines the financialization of commodity markets , belief distortions during financial crises , and the unique institutional dynamics of China's hybrid economy , where state and market forces interact. Publication Trends: Xiong's 48 publications in top-tier journals reveal an evolving trajectory from classical behavioral finance (2001-2013) toward contemporary China-focused systemic analysis (2017-2025). Recent works integrate cryptocurrency economics, real estate risk management, and policy design in emerging markets, demonstrating methodological rigor through structural modeling and empirical analysis of large-scale financial datasets. Scientific Awards: 2012 Smith Breeden Award (first prize) for the best non-corporate finance paper published in Journal of Finance 2013 NASDAQ OMX Award for the best asset pricing paper presented in Western Finance Association Meetings Professional Activities: As NBER research associate and former Management Science finance editor (2009-2011), Xiong bridges academia and policy. He co-founded VoxChina.org to foster China-world economic dialogue and co-edited The Handbook of China’s Financial System (Princeton University Press). His keynote addresses at major conferences—including the 2024 Chinese Economists Society meeting on “Information Discovery in a Hybrid Economy”—demonstrate sustained policy influence. Labs and Initiatives: Xiong leads Princeton's Bendheim Center for Finance research initiatives and directs VoxChina.org, which produces influential policy analyses on China's economy. His recent work includes the NBER-commissioned study on commodity market risks and ongoing projects examining big tech lending models and data privacy impacts on digital finance.
Ayesha Jalal is a distinguished Professor of History at Tufts University's School of Arts and Sciences and holds a joint appointment at The Fletcher School of Law and Diplomacy. She currently serves as the Mary Richardson Professor and directs the Center for South Asian and Indian Ocean Studies. With a career spanning over three decades, Professor Jalal has established herself as a leading scholar in South Asian history, particularly focusing on Pakistan studies, the partition of India, and Muslim political thought in the region. Professor Jalal's academic journey began with a double major in History and Political Science from Wellesley College in 1978. She then pursued doctoral studies at the University of Cambridge, earning her PhD in History in 1983. Her early career included prestigious fellowships at Trinity College, Cambridge (1980-84), the Centre of South Asian Studies (1984-87), the Woodrow Wilson Center for International Scholars (1985-86), and the Harvard Academy for International and Area Studies (1988-90). Professor Jalal's research primarily centers on South Asian history with special emphasis on Pakistan, the partition of India, and Muslim political thought. Her work explores the complex interplay between religious identity, nationalism, and state formation in the region. She has made significant contributions to understanding democratic development in Pakistan, sectarian dynamics in South Asia, and the historical connections between the Indian subcontinent and the wider Indian Ocean world. Her recent scholarship has focused on 'Oceanic Islam,' examining transregional Muslim networks and universalist aspirations that transcended colonial boundaries. Professor Jalal's extensive publication record demonstrates a consistent focus on South Asian political history, with particular attention to Pakistan's formation and development. Her recent works show a progression from studies of partition and state formation toward broader examinations of Muslim intellectual history and transregional connections. The 2020-2024 publications reveal a sophisticated engagement with themes of democratic erosion, sectarianism, and the historical roots of contemporary political challenges in South Asia, while also exploring more cultural and religious dimensions through works on Muslim enlightened thought and oceanic connections. Patrus Bukhari Award for the best English language book, The Pity of Partition , Academy of Letters, Government of Pakistan (2015) Britannica Book of the Year recognition (2015) MacArthur Fellowship (1998-2003) As an educator, Professor Jalal has mentored numerous graduate students through thesis supervision and directed research projects. Her teaching portfolio includes courses on Modern South Asia, Contemporary South Asia, Islam and the West, and specialized seminars on South Asian history. She has taught at several prestigious institutions including the University of Wisconsin-Madison, Columbia University, and Harvard University before joining Tufts in 1999. In her role as Director of the Center for South Asian and Indian Ocean Studies, she has fostered interdisciplinary research and provided guidance to emerging scholars in the field. Professor Jalal directs the Center for South Asian and Indian Ocean Studies at Tufts University, which serves as a hub for interdisciplinary research on South Asia and its connections to the wider Indian Ocean world. The center facilitates collaborative projects, hosts visiting scholars, and organizes events that bridge historical, political, and cultural perspectives on the region. Under her leadership, the center has become a prominent institution for South Asian studies, promoting dialogue between academic research and contemporary policy issues.
John M. Woodley is a distinguished Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), where he leads research at the PROSYS - Process and Systems Engineering Centre and contributes to the DTU Microbes Initiative. With over 30 years of experience, he has established himself as a leading expert in biocatalysis and bioprocess engineering, with research spanning both theoretical and experimental work across multiple scales. His primary research interests focus on the interface of bioprocess engineering, process chemistry, and reaction engineering. Dr. Woodley's work encompasses multi-step biocatalysis (including systems biocatalysis and flow chemistry), downstream processing from biocatalytic reactors and fermentations (including ISPR), modeling tools for bioprocess assessment (thermodynamics, kinetics, process simulation, economic evaluation), and bio-oxidations (including oxygen supply methods). His enzymatic investigations particularly target alcohol oxidases, carbohydrate oxidases, cytochrome P450s, Baeyer-Villiger monooxygenases, and transaminases. His research portfolio demonstrates consistent innovation in sustainable chemical production, with particular emphasis on enzymatic synthesis of pharmaceuticals and chemicals from renewable resources. Analysis of his recent publications reveals a strong focus on overcoming industrial implementation challenges, particularly regarding enzyme stability in various reactor environments, optimization of multi-enzyme systems, and scale-up methodologies for biocatalytic processes. Dr. Woodley actively supervises multiple PhD students and leads several significant research projects, including 'P450-based biocatalytic processes for the pharmaceutical industry' (2025-2028), 'Integrated model for up- and downstream bioprocess intensification' (2024-2027), and 'ENFACE: A tool for prediction of enzyme stability at gas-liquid interfaces' (2024-2027). His work has resulted in an impressive publication record of 781 research outputs across various formats, including journal articles, book chapters, and conference proceedings. His research group operates within the Department of Chemical and Biochemical Engineering at DTU, utilizing advanced facilities for biocatalysis research, including specialized reactor systems for studying gas-liquid interfaces, computational modeling resources, and laboratories for enzyme characterization and bioprocess development. Through his leadership in the PROSYS center, he contributes to DTU's strategic focus on sustainable process technologies and systems engineering.
Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.
Elizabeth Bernstein is a Professor of Women's, Gender & Sexuality Studies and Professor of Sociology at Barnard College, Columbia University, where she has been a faculty member since September 2002. Her work bridges sociological theory with feminist analysis, focusing on the intersections of gender, sexuality, and political economy. Bernstein directs significant research initiatives including the Gender Justice and Neoliberal Transformations Working Group, a transnational collaboration among thirteen scholars examining gender justice in contemporary global contexts. She is currently developing a new book project titled "Imagining Immunity: Precarious Bodies and the Governance of Gendered Dis-ease," which explores immunological metaphors in understanding bodily risk and suffering. B.A., University of California, Berkeley M.A., University of California, Berkeley Ph.D., University of California, Berkeley Professor Bernstein's research focuses on the political economy of the body, gender, and sexuality, with particular attention to sexual commerce, sex trafficking, and neoliberal governance. Her work employs ethnographic methods to examine how intimate relations become sites of economic exchange and political regulation. She investigates how concepts of authenticity, freedom, and rights are mobilized in debates about sexual commerce and trafficking. Bernstein's scholarship critically engages with feminist theory, carceral politics, and transnational governance frameworks, challenging conventional approaches to sex work and trafficking that often reinforce punitive systems rather than advancing gender justice. Analysis of Bernstein's scholarly output reveals a consistent trajectory examining the intersections of gender, sexuality, and political economy within neoliberal frameworks. Her work demonstrates increasing attention to transnational governance mechanisms and their impact on intimate relations and bodily autonomy. A notable trend is her critical examination of how anti-trafficking campaigns often employ carceral logic that undermines feminist goals of gender justice. Her scholarship consistently challenges binary frameworks that position sex work solely as exploitation or liberation, instead analyzing the complex economic, political, and social dynamics that shape sexual commerce globally. Bernstein's research has received significant recognition through prestigious awards including: Distinguished Book Award, American Sociological Association, Sociology of Sexualities Section (2020) for "Brokered Subjects" Honorable Mention, Society for the Study of Social Problems Global Division Book Award (2019) Norbert Elias Prize, Norbert Elias Foundation (2009) Distinguished Book Award, American Sociological Association, Sex and Gender Section (2009) Her work has also been supported by major funding organizations including the Institute for Advanced Study, National Science Foundation, Social Science Research Council, AAUW, and Mellon Foundation. As a principal investigator along with Janet Jakobsen for the Gender Justice and Neoliberal Transformations Working Group, Bernstein leads a significant collaborative research initiative sponsored by the Barnard Center for Research on Women. Her grant portfolio demonstrates sustained support from major research institutions, reflecting the significance of her work in gender studies and sociology. While specific student advisees aren't listed in the available materials, her role as a full professor at Barnard College indicates extensive mentorship of undergraduate and likely graduate students in Women's, Gender & Sexuality Studies and Sociology. Bernstein co-leads the Gender Justice and Neoliberal Transformations Working Group, a collaboration among thirteen scholars working transnationally on questions of gender justice. This initiative represents a significant research collective examining how neoliberal policies reshape gender relations globally. Her work with the Barnard Center for Research on Women provides institutional support for this transnational feminist research network, facilitating scholarly exchange and collaborative publication projects that advance critical perspectives on gender, sexuality, and political economy.
