Dr. Ehsan Abbasnejad is an Associate Professor at Monash University's Department of Data Science and Artificial Intelligence, and holds adjunct positions at the Australian Institute for Machine Learning (AIML, University of Adelaide) and the Centre for Augmented Reasoning (CAR). He specializes in foundational AI, focusing on vision-language tasks, adversarial machine learning, and reinforcement learning. His work bridges theory with real-world applications in agriculture, energy, healthcare, and sports. Education: PhD in Computer Science from Australian National University (ANU). Research Interests: Machine Learning Theory and Adversarial Defenses Neural Network Robustness and Generalization Multimodal Learning (Vision-Language) Continual and Transfer Learning Applications in Energy, Healthcare, and Robotics Awards: Finalist for Australian AI Academic/Researcher of the Year (2024) Multidisciplinary competition wins (e.g., OzMineral Explorer Challenge) Advising & Grants: Australian Research Council (ARC) Discovery Project on Reinforcement Learning CSIRO's Next Generation Graduate Fund Accepting PhD students in foundational AI and applications Labs & Teams: Director of Foundational Machine Learning & Reasoning at Monash, leading global teams in AI competitions and industry collaborations (Microsoft Research, NEC Labs America).
Florian Schäfer is an Assistant Professor at the School of Computational Science and Engineering at Georgia Tech. His research spans numerical computation, statistical inference, and competitive games, with applications in materials science, turbulence modeling, computer graphics, and computational geometry. He will join the Courant Institute at NYU in September 2025. PhD in Applied and Computational Mathematics, Caltech Bachelor’s and Master’s in Mathematics, University of Bonn His work focuses on information geometric mechanics to design structure-preserving numerical methods for continuum mechanics. This includes: State-of-the-art solvers for elliptic PDEs via Gaussian elimination and conditional independence Efficient multi-agent optimization algorithms Information geometric regularization for compressible fluid dynamics Enabling the first compressible fluid simulation exceeding 100 trillion grid cells His recent research trends integrate: Machine learning for materials science (e.g., active learning, Bayesian approaches) Stochastic modeling of microstructures and phase-field problems Neural operators for super-resolution fluid dynamics Generative models for polycrystalline material datasets Optimal transport and diffusion models for conditional density transformations High-performance computing at extreme scales Florian collaborates with researchers including Houman Owhadi, Jessie Liu, Spencer Bryngelson, Tamer Zaki, and Ali Mani. He actively presents at conferences like SIAM and UCLA seminars, and is recruiting PhD students for work at the Courant Institute starting 2025.
Supratik Chakraborty serves as the Bajaj Group Chair Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay. He maintains dual affiliations with the Centre for Formal Design and Verification of Software and the Centre for Liberal Education at IIT Bombay, demonstrating his cross-disciplinary engagement. Professor Chakraborty's research spans formal methods with focus on formal verification, rigorous analysis of system models, and automated synthesis of systems from specifications. His work bridges theoretical foundations with practical applications, particularly in developing mathematically provable guarantees for increasingly complex hardware, software, and intelligent systems. Current research interests include constrained counting and sampling, scalable formal verification of software and hardware systems, automated synthesis of programs and circuits, and applications of automata, logic and finite model theory to practical verification challenges. His publication trajectory shows a significant evolution from traditional hardware and software verification toward addressing verification challenges in machine learning and AI systems. Recent work increasingly focuses on interpretability of black-box models, verification of neural networks, and synthesis techniques applicable to intelligent systems. The research demonstrates strong interdisciplinary connections between formal methods, programming languages, and artificial intelligence. IIT Bombay Excellence in Thesis (CSE) Award 2011 (for Bhargav Gulavani's thesis) IIT Bombay Excellence in Thesis (CSE) Award 2017 (for Abhisekh Sankaran's thesis) Best Paper in Algorithms and Architecture track at IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1998 Professor Chakraborty has successfully supervised 11 doctoral students, with research spanning formal verification techniques, Boolean functional synthesis, constrained counting, and applications to hardware and software systems. His students have gone on to positions at major institutions including Microsoft Research, TCS Research, Georgia Tech, and BARC, reflecting the strong industry and academic impact of his mentorship. Current research directions show increasing emphasis on verification challenges posed by machine learning systems and AI. His research group at IIT Bombay, while not explicitly named in the materials, appears to focus on formal methods with strong connections to the Centre for Formal Design and Verification of Software. The group maintains active collaborations with international researchers including Moshe Y. Vardi at Rice University, and has made significant contributions to verification tools like VeriAbs that bridge theoretical advances with practical applications.
Dr. Miemie Winn Byrd is an Adjunct Professor at the Daniel K. Inouye Asia-Pacific Center for Security Studies (DKI APCSS), where she researches, teaches, and publishes on security dynamics in Myanmar/Burma & Southeast Asia, economics & security linkages, and organizational development. A retired US Army Lieutenant Colonel with 28 years of distinguished service, she brings extensive experience from military, private sector, and nonprofit organizations to her academic work. Dr. Byrd earned her educational credentials from prestigious institutions: Bachelor of Arts in Economics and Accounting from Claremont McKenna College Master of Business Administration with emphasis in Asia-Pacific Economics and Business from University of Hawaii Doctorate in Education Leadership from the University of Southern California Her research focuses on the complex interplay between security, economics, and social development in Southeast Asia, with particular expertise in Myanmar's political and security landscape. Dr. Byrd examines how civil-military operations, women's roles, and educational approaches impact socioeconomic development and security outcomes in the region. She investigates the strategic implications of Myanmar's internal conflicts for broader Indo-Pacific security dynamics, and analyzes how private sector engagement can contribute to poverty alleviation and stability. Dr. Byrd serves on multiple advisory boards that extend her influence in policy and research: Board of Governors of the Keck Center for International and Strategic Studies at Claremont McKenna College Regional Advisory Committee for Knowledge for Democracy Myanmar Initiative of the Asia Regional Office, International Development Research Centre The Oxford-Thanakha International based in Chiang Mai, Thailand Myanmar Policy Institute based in Washington, D.C. Her military career included significant roles such as Deputy Economic Advisor and Civil-Military Operations Plans Officer at U.S. Pacific Command, where she supported Operations Enduring Freedom. She served as a linguist and cultural advisor for U.S. delegations at the Association of Southeast Asian Nations Regional Forum and during POW/MIA recovery negotiations in Myanmar. Her civilian career spans 16 years in auditing, accounting, and financial management with multinational corporations.
Matthew D. Potts is the S.J. Hall Chair in Forest Economics and Professor at UC Berkeley's Department of Environmental Science, Policy, & Management. He also serves as Associate Director for Sustainable Development at the Blum Center for Developing Economies. With interdisciplinary training in mathematics, ecology, and economics, his research focuses on nature-based climate solutions and ecosystem service co-production. Research addresses carbon sequestration through forest management, biodiversity conservation, land use planning, and sustainable development in tropical ecosystems. Recent work examines cost-effectiveness of reforestation, climate-driven migration patterns, and plantation carbon modeling. Publications demonstrate strong focus on quantitative analysis of land-use impacts, with methodological innovations in remote sensing applications and spatial modeling for carbon accounting. Awards include recognition for young faculty research and leadership in international environmental assessments. Leads the Potts Research Group, mentoring graduate students working on tropical ecology, restoration, and climate adaptation projects.
Dr. Christina Allen is a Professor of Orthopaedics & Rehabilitation at Yale School of Medicine, where she serves as Chief of Yale Sports Medicine and Vice Chair of Athletic Medicine and Community Outreach. She is the Orthopaedic Team Physician for Yale Athletics and has extensive experience with U.S. national teams, including U.S. Soccer and USA Taekwondo. Education: BS in Biomedical Engineering, Duke University (1983); MD, UCLA School of Medicine (1995) Training: Orthopaedic Residency and Sports Medicine Fellowship, University of Pittsburgh Research Interests focus on: Revision ACL reconstruction outcomes and predictors Meniscus transplantation and cartilage repair Proximal hamstring avulsion repair Quantitative MRI for joint kinematics and cartilage changes Post-ACL revision infection risk factors Scientific Awards include: Kappa Delta Ann Doner Vaughn Award (2019) NIH R01 Competitive Renewal Grant (2017) AOSSM O’Donoghue Award (2014) Clinical Roles span: Team physician for U.S. Soccer (Women's/Men's National Teams) Former team physician for San Francisco Deltas (NASL Champions 2017) Medical Board member, World Taekwondo (London Olympics 2012, Rio Olympics 2016) Publications highlight a 20-year longitudinal focus on: Machine learning models for surgical outcome prediction Graft choice impact on revision ACL longevity Cartilage degeneration after meniscectomy Biomechanical MRI analysis of joint kinematics Infection rates in revision surgeries Return-to-sport protocols for athletes
Professor Wei Cui is a distinguished scholar at the Peter A. Allard School of Law at the University of British Columbia, where he joined the faculty in 2013. His expertise spans tax law and policy, international taxation, and Chinese legal studies, with significant contributions to understanding the intersection of tax policy, climate change, and global economic governance. Professor Cui's educational background includes a BA from Harvard College, an MA in Philosophy from Tufts University, a JD from Yale Law School, and an LLM in Taxation from New York University School of Law. He maintains strong institutional affiliations with the Centre for Asian Legal Studies, Centre for Chinese Research, and Centre for Business Law at UBC. Professor Cui's research focuses on tax law and policy with particular emphasis on international taxation, carbon pricing mechanisms, Chinese fiscal systems, and the relationship between tax policy and development. His work bridges theoretical insights with practical applications in tax administration, examining how tax systems function in different political and economic contexts. He has made significant contributions to understanding China's tax system and its implications for developing countries, as well as analyzing innovative approaches to carbon pricing and digital taxation. His recent publications demonstrate a clear trajectory toward addressing contemporary challenges in tax policy, particularly the intersection of taxation with climate change mitigation and digital economy regulation. Professor Cui's research on carbon contracts for difference, output-based pricing systems, and digital services tax reflects his engagement with pressing policy questions facing Canada and the international community. Insight Grant from the Social Sciences and Humanities Research Council of Canada Insight Grant from the Social Sciences and Humanities Research Council of Canada Professor Cui has engaged in significant scholarly supervision and research collaboration, with his work supporting numerous graduate students and research projects. His professional background includes over 10 years of tax law practice with global law firms in New York and Beijing, service as Senior Tax Counsel at the China Investment Corporation (2009-2010), and consultancy roles with China's National People's Congress, Ministry of Finance, State Administration of Taxation, and the United Nations. Professor Cui maintains active research laboratories and teams focused on comparative tax systems, with particular attention to China's fiscal development and its implications for global tax governance. His current research projects examine the evolution of international tax design as part of the post-WWII international economic order and tax/subsidy policies designed to combat climate change and support innovation.
Li Mingjiang serves as Associate Professor and Provost's Chair in International Relations at Singapore's S. Rajaratnam School of International Studies (RSIS), Nanyang Technological University. He concurrently holds leadership roles as PhD Programme Coordinator, Deputy Head of Graduate Studies at RSIS, and Deputy Chair of NTU's 8th Senate, while maintaining a nonresident scholar position at Carnegie China. His academic foundation includes: Ph.D. in Political Science from Boston University Specializing in Chinese foreign policy , China-ASEAN relations , and Asia-Pacific security dynamics , he has authored or edited 15 books including China’s Economic Statecraft (2017) and New Dynamics in US-China Relations (2014). His research spans global governance frameworks and Sino-U.S. strategic competition through publications in journals like Journal of Contemporary China and Chinese Journal of International Politics . Recent publications (2023-2025) reveal concentrated analysis on emerging geopolitical flashpoints including U.S.-China tensions in Southeast Asia, South China Sea confrontations, cyber nationalism commercialization, and technology policy conflicts - demonstrating consistent engagement with real-time strategic developments in the Indo-Pacific region. In his capacity as PhD Programme Coordinator, Li Mingjiang oversees graduate academic development and research supervision at RSIS, though specific student details and grant information remain unreported in public sources.
Dr. IKM Mokhtarul Wadud is a Senior Lecturer in the Department of Economics at The University of Sydney, Australia. Previously, he held roles as Senior Lecturer at Deakin University, Lecturer at Monash University Malaysia, and Assistant Professor at the University of Rajshahi, Bangladesh. He earned his PhD in Economics from the University of Wollongong in 2001. His research focuses on productivity analysis, macroeconomic policy, energy economics, and applied econometric modeling. Notable contributions include co-authoring the Asia Pacific edition of Introductory Econometrics (Cengage Learning) and publishing in journals like Economic Modelling and Energy Policy . His recent work addresses financial sustainability strategies in higher education during the pandemic and the impact of economic policy uncertainty on property prices in Australia. Dr. Wadud has presented at international conferences and served as a reviewer for multiple journals. His research spans diverse regions, including Australia, Thailand, Malaysia, and Bangladesh, with analyses of oil price volatility, monetary policy effects, and industrial competitiveness.
Karoline Faust is an Associate Professor at KU Leuven, affiliated with the Laboratory of Molecular Bacteriology (Rega Institute) and the Faculty of Medicine . She contributes to the iSi Health and Leuven One Health institutes, and serves on senior academic councils. Her research spans microbial systems biology, focusing on community dynamics and network analysis. Education: PhD in bioinformatics (2010, KU Leuven) Affiliations: KU Leuven, ISME Journal editorial board, Belgian Society for Microbiology Her research investigates microbial community dynamics , systems biology approaches to microbiomes, and bioinformatics tool development . She specializes in modeling human gut microbiota , synthetic microbial communities , and environmental microbiomes (e.g., microplastic impacts on Daphnia microbiomes). Her work integrates metabolic modeling , network analysis , and experimental systems to understand microbial interactions. Recent publications highlight her contributions to microbial network inference , 16S rRNA sequencing protocols , microfluidics , and ecological modeling of microbiomes. She develops tools like manta , miaSim , and CoNet to analyze community structures. Teaching: Karoline co-teaches courses in microbiology, bioinformatics, and network analysis at KU Leuven, and has contributed to international workshops on microbial network inference. Scientific Engagement: She serves as Senior Editor at ISME Journal and Secretary of the Belgian Society for Microbiology .
Dylan Hadfield-Menell is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, holding the Bonnie and Marty (1964) Tenenbaum Career Development Professorship. His research focuses on AI alignment and human-AI interaction within MIT's School of Engineering. His research interests center on agent alignment problems in AI systems, particularly examining uncertainty in objective optimization for human-robot teams and societal oversight of machine learning systems. Key areas include the principal-agent alignment problem , assistance games frameworks , and robust preference learning that accounts for hidden contextual factors in reinforcement learning from human feedback. His recent publications reveal strong trends toward multi-agent cooperation , formal contract mechanisms for resolving social dilemmas, and advanced evaluation methodologies for AI safety. The research spans theoretical frameworks like open-universe assistance games while addressing practical challenges in language model alignment and cultural bias assessment. Scientific awards include: AI2050 Early Career Fellowship from Schmidt Futures Berkeley Fellowship NSF Graduate Research Fellowship C.V. Ramamoorthy Distinguished Research Award His work bridges theoretical computer science with real-world AI governance challenges, as demonstrated through MIT's participation in AI policy white papers. Current research directions include developing frameworks for transparent AI systems and addressing fundamental limitations in aligning recommender systems with human values through interdisciplinary synthesis.
Pan Xu is a tenure-track assistant professor with joint appointments in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering at Duke University. Previously, Xu was a Postdoctoral Scholar Research Associate at Caltech's Department of Computing and Mathematical Science and earned a Ph.D. in Computer Science from UCLA. Xu's research focuses on developing computationally- and data-efficient machine learning algorithms with strong empirical performance and theoretical guarantees. Xu's research interests center around Machine Learning with broad applications in Artificial Intelligence, Data Science, Optimization, Reinforcement Learning, and High Dimensional Statistics. The research specifically targets real-world problems in Bioinformatics and Healthcare, with recent work emphasizing distributionally robust decision making, efficient exploration strategies, and multi-agent systems. Xu has developed novel algorithms that address the challenges of exploration in sequential decision making and robustness to distributional shifts between training and deployment environments. Xu's recent publications demonstrate a strong trend toward developing theoretically grounded yet practical algorithms for reinforcement learning and bandit problems, with particular emphasis on distributionally robust methods, efficient exploration techniques, and applications to healthcare. The work spans both theoretical analysis (providing minimax optimal regret bounds) and practical implementations (validated on benchmarks like Atari games and real healthcare datasets). Whitehead Scholar award from Duke University School of Medicine (2023) Best Paper Award at ACM FAccT 2023 for Queer In AI paper PIMCO Postdoctoral Fellowship in Data Science (2022) TMLR Featured Certification (2023) NSF award on approximate sampling based exploration (2023) Xu actively mentors multiple Ph.D. students across Duke's Biostatistics & Bioinformatics, Computer Science, and Electrical & Computer Engineering programs, with several alumni now pursuing doctoral studies at top institutions. The research group has secured competitive funding including an NSF award for approximate sampling based exploration for sequential decision making. Xu serves as an action editor for TMLR and as an area chair for major conferences including ICML, NeurIPS, AAAI, ICLR, and AISTATS. Xu leads a dynamic research group focused on sequential decision making, with projects spanning theoretical algorithm development, implementation of practical systems, and applications to healthcare and bioinformatics. The group maintains active collaborations across Duke's medical and engineering schools, with recent work applying machine learning to epidemic forecasting during the pandemic.
James Tilley is a Professor of Politics at the University of Oxford's Department of Politics and International Relations (DPIR) and a Fellow and Tutor in Politics at Jesus College. His research focuses on public opinion, electoral behavior, and political identity, particularly in the context of Britain and the EU. He explores themes like voter responsibility attribution, class voting dynamics, and the emergence of post-Brexit political identities. Tilley has published influential works such as Blaming Europe (2014) and The New Politics of Class (2017), examining issues ranging from working-class political exclusion to the role of social cleavages. His media contributions include BBC Radio 4 documentaries on topics like political polarization and generational political attitudes. Teaching responsibilities include Political Sociology (PPE/HP) and Prelims Politics tutorials. His research spans over three decades, addressing evolving political identities, the impact of echo chambers on polarization, and the intersection of personality traits with political engagement. Tilley collaborates widely, with co-authors such as Sara Hobolt and Geoff Evans, and his work often intersects with contemporary issues like Brexit's societal effects and Northern Irish electoral behavior. Recent publications (2023–2025) analyze regional EU spending impacts, narcissism's role in polarization, and neighborhood effects on political divisions. His work bridges academic rigor with public engagement, contributing to debates on democracy, identity, and governance.
Zach Y. Brown is an Assistant Professor of Economics at the University of Michigan’s Department of Economics within the College of Literature, Science, and the Arts (LSA), and a Faculty Research Fellow at the National Bureau of Economic Research (NBER). He holds a tenure-track position and focuses on Industrial Organization and Health Economics, with an emphasis on information frictions and healthcare market dynamics. Education: Ph.D. in Economics from Columbia University (2017), B.A. in Economics and Physics (minor) from University of California - Berkeley (2007). His research interests include algorithmic pricing strategies, healthcare policy, and the economic implications of market structures. For instance, he explores how pricing algorithms affect competition in digital markets and investigates disparities in healthcare access and outcomes, particularly in Medicare. His work frequently bridges theoretical models with empirical analysis to inform policy debates. Recent studies highlight his contributions to understanding the effects of hospital payment caps on pricing, the role of broadband access in healthcare, and racial disparities in medication for opioid use disorder. His 2023 paper on algorithmic pricing won the American Economic Journal’s Best Paper Award in Microeconomics, underscoring his impact on digital market research. Teaching includes courses like Government Regulation of Industry (undergraduate) and Industrial Organization II (Ph.D. level), reflecting his expertise in applied economics and policy analysis. Prior to his academic role, he served as a Staff Economist at the Council of Economic Advisers, bringing practical policy experience to his academic work. Brown is affiliated with the NBER, contributing to their research initiatives. His current projects include examining market power in index funds and insurer competition in Medicaid markets, further expanding his interdisciplinary approach to economic challenges.
Professor Kay O'Halloran serves as Chair Professor and Head of Department of Communication and Media within the School of the Arts at the University of Liverpool since August 2019. She concurrently holds the position of Co-Director for the Digital Media and Society Institute (DMSI), demonstrating significant leadership across academic and research domains. Her career spans prestigious institutions including Curtin University (2013-2019) and National University of Singapore (1998-2013), where she directed the Multimodal Analysis Lab and served as Deputy Director of the Interactive & Digital Media Institute. PhD from Murdoch University (1996) Postdoctoral position at Martin Luther University (1997-1998) Visiting Distinguished Professor at Shanghai Jiaotong University (2017-2020) Professor O'Halloran's research focuses on multimodal discourse analysis, particularly the interaction of language with visual and mathematical resources. Her pioneering work in systemic functional multimodal discourse analysis (SF-MDA) has significantly impacted mathematics education and digital communication studies. Current research emphasizes digital tools for multimodal analysis and mixed methods approaches to big data analytics, addressing contemporary challenges in misinformation and public health communication. Her recent publications reveal strong thematic concentration in pandemic-related communication analysis, misinformation resistance mechanisms, and multimodal argumentation across social and cultural contexts. The 15 most recent articles demonstrate consistent application of multimodal frameworks to urgent societal issues including public health crises, political discourse, and digital literacy challenges. Founding editor of Routledge Studies in Multimodality book series (57+ volumes) Over 150 publications in leading international journals 50+ plenary/keynote presentations globally Competitive funding from National Research Foundation, MOE Singapore, US Air Force, ARC, NHMRC, and others Professor O'Halloran has directed interdisciplinary research teams comprising social scientists, computer scientists, and designers. Her leadership extends to developing commercial multimodal analysis software (Multimodal Analysis Image and Video) adopted internationally. Current projects include Eurovision 2023 wellbeing evaluation and COVID-19 misinformation immunity development, demonstrating continued relevance to contemporary societal challenges.
