جست‌وجوی استاد و پژوهشگر

Michael T. Durneyمشاهده پروفایل

استادیار

• Judgment and Decision Making in Financial Reporting
• Financial Accounting
• Corporate Disclosure Practices
• +۲ مورد دیگر

Michael T. Durney is an Assistant Professor in the Department of Accounting at the University of Iowa's Tippie College of Business. His research focuses on judgment and decision-making in financial reporting, with implications for corporate disclosures and investor behavior. He holds a PhD in Accounting from Cornell University, an MS in Management from Cornell University, and a MAC in Professional Accountancy and BS in Accounting from Brigham Young University. Durney is a Certified Public Accountant (CPA) in the State of Georgia. Research Interests Judgment and decision-making in financial reporting Corporate disclosure practices Investor decision-making processes Scientific Awards Gilbert P. Maynard Excellence in Accounting Instruction Award (2025, 2022) Outstanding Doctoral Dissertation - American Accounting Association (2020) Deloitte Foundation Doctoral Fellowships (2017-2019) AAA/Deloitte Doctoral Consortium Fellow (2018) Multiple University of Iowa teaching and mentorship awards (2023-2025) Recent Publications Investigated earnings forecasting in remote work environments (2025) Analyzed CEO activism impacts on investor decisions (2024) Explored segment reporting limitations (2024) Examined private communication dynamics with investors (2023-2024) Licenses Certified Public Accountant (CPA), State of Georgia (2014)

Keith Obadikeمشاهده پروفایل

استاد

• Sound Art
• Digital Media
• Interdisciplinary Art
• +۱۲ مورد دیگر

Keith Obadike is a Professor in the Department of Art at Cornell University's College of Architecture, Art, and Planning (AAP), where he also serves as Director of Undergraduate Studies. He is an acclaimed interdisciplinary artist and composer, known for his collaborative work with Mendi Obadike, which spans sound art, digital media, public installations, performance, and internet-based projects. His artistic and academic work critically engages with technology, race, history, and identity. Obadike earned a B.A. in Visual Art from North Carolina Central University and an M.F.A. in Sound Design from Yale University. Prior to joining Cornell, he taught at William Paterson University and held visiting positions at Princeton University, Columbia University, Northwestern University, and the Art Institute of Chicago. His research and creative practice focus on sound art, digital media, public art, performance, and collaborative practice , with strong interdisciplinary connections to Afrofuturism, data sonification, and social justice. He explores how sound and technology mediate racial identity, memory, and liberation, notably through the concept of acousmatic blackness , which he and Mendi developed to describe the racial perception of sound when its source is unseen. Obadike’s selected works include large-scale public sound installations such as Blues Speaker (for James Baldwin) , Free/Phase , Compass Song (Times Square Arts), and GuideStar (Space Needle, Seattle). His projects often use data sonification, archival research, and mythic storytelling, blending historical inquiry with futuristic vision. Notable series include the Opera-Masquerades , Americana Suites , and Numbers Station works, which transform databases of violence into sonic experiences. His honors include: Rockefeller New Media Arts Fellowship (2004) Louis Comfort Tiffany Biennial Award (2015) New York Foundation for the Arts Fellowship in Fiction New Music USA Creator Development Fund (2022) Obadike has received commissions and support from institutions such as the Vera List Center, Harlem Stage, Times Square Arts, the American Composers Orchestra, and the Cornell Mui Ho Center for Cities. He has exhibited and performed at The New Museum, The Whitney Museum of American Art, MoMA, and The Studio Museum in Harlem. His writings and publications include contributions to Studies into Darkness (2022), and artist books such as Four Electric Ghosts and Big House / Disclosure (both 2014). He has also released albums like Crosstalk (2008) and created internet artworks such as Blackness for Sale (2001) and The Interaction of Coloreds (2002), which are foundational in new media and critical race art. While specific advisees are not listed, his role as Director of Undergraduate Studies and Professor indicates active mentorship. His work is deeply collaborative, often co-created with Mendi Obadike, and supported by interdisciplinary teams and institutions.

• Information Theory
• Machine Learning
• Cybersecurity
• +۳ مورد دیگر

Oliver Kosut is an Associate Professor at the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he has worked since August 2012. He was promoted to Associate Professor in 2018 and received the NSF CAREER award in 2015. His research spans information theory, machine learning, cybersecurity, and power systems, with a focus on theoretical foundations and applications to privacy, security, and smart grid resilience. Education: B.S. in Electrical Engineering and Mathematics from MIT (2004), Ph.D. in Electrical and Computer Engineering from Cornell University (2010) His recent work explores differential privacy, adversarial robustness in decentralized networks, and information-theoretic approaches to cybersecurity. He advises graduate students with strong mathematical backgrounds, particularly those interested in fundamental theory for applied problems. Scientific accolades include the IEEE Information Theory Society Distinguished Lecturer (2023–2024) and NSF CAREER award. Key research areas: Information Theory, Privacy, Machine Learning, Power System Security Students: Obai Bahwal, Atefeh Gilani, Naima Tasnim (current); Nima Bazargani, Andrea Pinceti, Jingwen Liang, Zhigang Chu, Fatemeh Hosseinigoki, Nematollah Iri, Kousha Kalantari, Roozbeh Khodadadeh (former)

Dan Sheldonمشاهده پروفایل

استاد

• Computational Biology
• Bioinformatics
• Machine Learning
• +۵ مورد دیگر

Dan Sheldon is a Professor in the Department of Computer Science at the University of Massachusetts Amherst, holding a Five College joint faculty position with Mount Holyoke College. His research focuses on developing algorithms to address environmental challenges using large datasets, emphasizing computational sustainability. Key areas include spatial optimization for endangered species conservation, continent-scale bird migration modeling, and interpreting weather radar data for ecological insights. Methodologically, his work leverages probabilistic inference, network modeling, and machine learning. Sheldon earned a PhD in Computer Science from Cornell University and an AB in Mathematics from Dartmouth College. His postdoctoral training at Oregon State University was supported by an NSF Bioinformatics Fellowship. He co-leads the BirdCast project, an NSF-funded initiative applying novel machine learning to avian migration studies. His research affiliations include the Center for Data Science and the Computational Social Science Institute. Research interests span computational biology, machine learning, and data privacy. Notable contributions include algorithms for ecological decision-making, differentially private synthetic data techniques, and Gaussian process applications in environmental forecasting. Awards include an NSF Fellowship in Bioinformatics. Current projects integrate radar data analysis, biodiversity tracking, and privacy-preserving statistical methods. Grants include the BirdCast NSF grant and collaborations in computational sustainability. His work bridges theoretical computer science with applied ecological challenges, emphasizing interdisciplinary approaches to global-scale environmental problems.

• Accounting
• Corporate Governance
• Macroeconomics
• +۵ مورد دیگر

Lindsey Gallo is the Coopers and Lybrand, Norman E. Auerbach Assistant Professor of Accounting at the Ross School of Business, University of Michigan. Her research focuses on the intersection of firm-level information with macroeconomic trends, corporate governance, and financial reporting practices. She holds a Ph.D. from the University of Maryland's Smith School of Business and dual degrees (BBA and MAcc) from the University of Michigan’s Ross School of Business. A former NCAA champion in track and field, her academic excellence is complemented by teaching awards. Education: Ph.D. in Accounting, University of Maryland (2014) MAcc, University of Michigan (2005) BBA, University of Michigan (2004) Her research explores how corporate disclosures and governance structures influence macroeconomic uncertainty, with publications in top journals like Journal of Accounting Research and Review of Accounting Studies . She serves on the editorial board of The Accounting Review and is recognized for teaching excellence, receiving the Neary Teaching Excellence Award in 2021 and 2023. Her recent work addresses topics such as government-appointed corporate monitors, inflation news processing, and supply chain transparency, reflecting her expertise in bridging accounting practices with broader economic and governance frameworks. She actively contributes to academic discourse through editorial roles and peer reviews. Awards: Neary Teaching Excellence Award (2021, 2023) Gallo advises on curriculum development for the MBA and Master of Accounting programs at Ross, emphasizing practical applications of accounting principles. Her research frequently intersects with real-world policy implications, particularly in regulatory oversight and investor behavior analysis.

• Developmental Psychology
• Youth Development
• Personality Development
• +۷ مورد دیگر

Dr. Odilia Laceulle is an Associate Professor in Developmental Psychology at Utrecht University's Faculty of Social and Behavioural Sciences. She is affiliated as a senior researcher at the Center for Adolescent Psychiatry, Reinier van Arkel in Den Bosch and at HYPE, GGZCentraal in Amersfoort. Additionally, she serves as one of the community chair holders of Utrecht University strategic theme 'Dynamics of Youth', domain 'Thriving & Healthy Youth'. Dr. Laceulle investigates youth developmental pathways with a transactional approach, examining both person characteristics and environmental factors. Her research explores how personality traits interact with environmental influences such as stress, trauma, and social relationships to affect mental health outcomes in young people. She has a particular focus on borderline personality disorder features in youth, developmental milestones, and the impact of social environments on adolescent development. Her recent publications demonstrate a strong research trajectory focusing on personality pathology in youth, cultural identity conflict among refugees, household chaos and borderline features, and the relationship between social support and mental health. She employs diverse methodologies including longitudinal studies, clinical assessments, and transactional models to understand adolescent development. Among her notable achievements is obtaining her PhD cum laude from the University of Groningen for research into adolescent adaptability. She has been actively involved in research into the effects of the coronavirus pandemic on young people through the 'Youth Challenge' of the National Science Agenda. Dr. Laceulle collaborates extensively with researchers across institutions, particularly with colleagues at Utrecht University including N. Koster, C.J. Hessels, and M.A.G. van Aken. Her work appears regularly in high-impact journals across psychology, psychiatry, and developmental science.

Bei Jiangمشاهده پروفایل

دانشیار

• Biostatistics
• Functional Data Analysis
• Statistical Machine Learning
• +۶ مورد دیگر

Dr. Bei Jiang is an Associate Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta , Canada. She holds the Canada CIFAR AI Chair and is affiliated with the Alberta Machine Intelligence Institute (Amii) . Her academic journey includes a PhD in Biostatistics (2014) from the University of Michigan, MS (2008) and BS (2004) from the University of Alberta and Beijing University of Technology, respectively. Current Positions : 2021–Present (Associate Professor), 2022–Present (CIFAR AI Chair) Past Appointments : Assistant Professor (2015–2021), Postdoctoral Fellow at Columbia University (2014–2015), Research Assistant at University of Michigan (2009–2013) Research Interests : Dr. Jiang specializes in methods for joint modeling of longitudinal and health outcome data , Bayesian hierarchical modeling , functional and imaging data analysis , and statistical machine learning . Her work integrates kernel machine regression , differential privacy , and synthetic data generation to address challenges in heterogeneous health data and neuroimaging. Scientific Awards : Highlights include the 2015 SAMSI New Research Fellow , multiple Rackham Conference Travel Awards (2013, 2012), and prestigious NSERC scholarships (2009–2012). She has also received the J Gordin Kaplan Graduate Award (2008) and Statistical Society of Canada Travel Award (2008). Grants : $375,000 (CIFAR AI Chairs, 2022–2027), $480,000 (MITACS Accelerate, 2022–2025), and $210,000 (Canadian Statistical Sciences Institute, 2022–2025) Students and Postdocs : She mentors numerous PhD , MSc , and Postdoctoral Fellows , including Junxi Zhang (2023–Present), Enze Shi (2022–Present), and former advisees like Wenxing Guo (now Lecturer at University of Essex) and Yafei Wang (Assistant Professor at University of Alberta).

• Causal inference
• Machine learning
• Cluster randomized trials
• +۷ مورد دیگر

Laura Balzer, PhD, MPhil is an Associate Professor of Biostatistics at the University of California, Berkeley . Her research focuses on methodological and applied work in causal inference , machine learning , and messy real-world data , particularly in the context of HIV prevention and global health in East Africa. PhD – Biostatistics, University of California, Berkeley (2015) MPhil – Computational Biology, University of Cambridge (2009) BS – Applied Mathematics, University of Vermont (2008) Dr. Balzer specializes in the design and analysis of cluster randomized and pragmatic trials , addressing challenges like differential measurement , complex dependence , and missing data . Her work integrates epidemiologic methods with machine learning to enhance rigor in real-world studies. Recent publications emphasize community-based HIV interventions , dynamic choice models , and causal inference frameworks for global health applications in Kenya and Uganda. Her methodological contributions include Two-Stage TMLE for handling sub-sampling and non-independent units , while applied studies examine HIV-tuberculosis interactions , hypertension care models , and social network effects on health outcomes. Dr. Balzer’s role as a Primary Statistician for East African studies underscores her commitment to translating academic advances into public health impact .

• Mathematical Statistics
• Applied Statistics
• Probability Theory
• +۶ مورد دیگر

Holger Dette is a Professor and Chair Holder of Stochastics (specializing in Statistics) at the Faculty of Mathematics, Ruhr University Bochum. He leads the prominent Group Dette within the Institute of Statistics, overseeing a team of researchers, doctoral students, and administrative staff including Birgit Tormöhlen as team assistant. His research group is deeply integrated within the university's mathematical ecosystem, collaborating with other research groups across algebra, analysis, numerics, and topology. Dette's research spans mathematical statistics with strong applications in real-world problems. His primary interests include optimal experimental design, time series analysis, functional data, change point problems, nonparametric regression, biostatistics, special functions, goodness-of-fit tests, and random matrices . His work bridges theoretical statistics with practical applications, particularly evident in his collaborations with pharmaceutical giants Novartis and Bayer AG in biostatistics, as well as Quasol, a spin-off company from his statistics institute. His recent publications (2024-2025) reveal a research program increasingly focused on high-dimensional and functional data analysis, privacy-preserving statistics, and novel methodological approaches to longstanding statistical problems. Dette's work shows strong interdisciplinary connections, particularly with biomechanics (analyzing joint angles during fatigue phases) and data science (addressing challenges in the era of big data). His research group is actively involved in multiple DFG-funded projects including the newly established 'Small Data' collaborative research center (Sonderforschungsbereich 1597) and the Spatio-temporal Statistics for the Transition of Energy and Transport (Transregio 391). Dette has received significant recognition including the prestigious Humboldt Research Award . His paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors' achieved second place at the CSAW'24 Applied Research Competition MENA. His research group has also secured multiple significant funding awards from the German Research Foundation (DFG). As an advisor, Dette supervises numerous doctoral and master's students including Pascal Quanz, Marius Kroll, and Carina Graw. His group offers statistical consulting services for scientists and students across bachelor's, master's, and doctoral phases. The group maintains strong industrial partnerships, particularly in biostatistics applications, demonstrating Dette's commitment to translating theoretical statistics into practical solutions for real-world challenges.

• Information Theory
• Privacy (Data Disclosure)
• Statistical Signal Processing
• +۴ مورد دیگر

Tobias Oechtering is a Professor at the Division of Information Science and Engineering within the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology. His research focuses on information theory, privacy-preserving technologies, statistical signal processing, machine learning, and smart grid systems. He has held academic positions at KTH since 2008, advancing from Post-Doctoral Researcher to Assistant Professor (2010–2013), Associate Professor (2013–2018), and Professor (2018-present). He has supervised over 20 PhD students and contributed to numerous postdoctoral programs. Research Interests: - Network information theory and physical-layer security - Privacy mechanisms with provable guarantees - Distributed statistical inference and sensor calibration - Reinforcement learning and privacy-aware machine learning - Smart grid privacy and energy management - Wireless communication algorithms and signal processing - Networked control systems and stability analysis He currently supervises 7 PhD students and hosts 3 postdocs. His work has led to over 150 peer-reviewed publications, with recent contributions in privacy-preserving smart grid strategies, adversarial inference control, and information-theoretic security. He has served as editor for IEEE Transactions on Information Forensics and Security and held leadership roles in KTH's Digitalisation Research Platform.

Wing Wah Thamمشاهده پروفایل

دانشیار

• Econometrics
• Market Microstructure
• Asset Pricing
• +۳ مورد دیگر

Associate Professor Wing Wah Tham holds a position at the School of Banking and Finance within the University of New South Wales (UNSW) Business School . He also maintains affiliations as a Marie Skłodowska-Curie Fellow and a Tinbergen Institute Fellow . Previously, he served as an Associate Professor of Financial Econometrics at the Econometric Institute, Erasmus School of Economics (2014–2016) and as an Assistant Professor there (2009–2014). Education : PhD, University of Warwick MSc, Imperial College, UK BEng, Nanyang Technological University of Singapore Research Interests : Professor Tham specializes in econometrics , market microstructure , asset pricing , and financial innovation . His work bridges quantitative finance with applications in artificial intelligence and sustainable development goals (SDG) , focusing on reproducibility, liquidity dynamics, and policy impacts. Recent Publications span high-impact journals like Journal of Finance , Management Science , and Review of Financial Studies , addressing topics such as nonstandard errors , AI for SDG mapping , and toxic arbitrage . These works are frequently presented at American Finance Association and Econometric Society meetings. Scientific Honors : PanAngora Crowell Second Prize Midwest Finance Association Best Paper Award Literati Network Awards for Excellence ARC Discovery Projects Grant Additional Activities : He has served as a visiting scholar at the Haas Business School, UC Berkeley and National University of Singapore , with interests in triathlons and ocean swimming.

Philip Joosمشاهده پروفایل

استاد

• Financial Accounting
• Corporate Governance
• Corporate Social Responsibility
• +۶ مورد دیگر

Prof. Philip Joos is a Full Professor of Accounting at Tilburg University's Tilburg School of Economics and Management (TiSEM) and academic director of the Tilburg Institute for Private Debt since 2020. He is affiliated with the TIAS Finance LAB and previously served as vice dean education (2013-2018), academic dean of TIAS School for Business & Society (2010-2013), and Research Coordinator of CentER's Accounting Research Group until 2010. Prior to Tilburg, he held professorships at the University of Rochester's Simon School of Business. His academic credentials include a Business Economics degree from Ghent University, Master of Science in Finance from Vlerick School of Management, and Master in Statistics/PhD in Accounting from Stanford University. Doctoral work focused on earnings prediction, equity valuation in biotech/pharmaceuticals, and real options modeling using R&D metrics. Research centers on empirical financial accounting with sustained expertise in corporate governance, CSR, capital markets, and ESG reporting. Key contributions examine default risk in IPOs, IFRS adoption effects across Europe, and sustainable investment frameworks. Current projects analyze economic impacts of ESG disclosures, bridging accounting theory with finance and business strategy. Recent publications reveal evolving focus from traditional financial reporting (e.g., stock option disclosures, IFRS impacts) toward sustainability-driven topics like ESG performance during crises and pharmaceutical R&D valuation. Work consistently intersects capital markets, corporate strategy, and regulatory frameworks across Accounting, Finance, and Business journals. Scientific recognition includes: TIAS Best Teacher Award (December 2009) TIAS Best Teacher Award (June 2018) He teaches PhD-level courses in TiSEM's Research Master program, MSc financial accounting theory, and executive programs at TIAS. Leadership roles encompass directing academic programs and shaping global accounting education through the European Accounting Association (EAA), where he served as President (2017-2019) and founded initiatives supporting young scholars. Core affiliations include the TIAS Finance LAB and Tilburg Institute for Private Debt, which he established to study non-bank lending markets. His EAA presidency and chairmanship of the Education Committee since 2019 demonstrate active influence in accounting education innovation and international scholarly networks.

Kenneth Edwin Barkerمشاهده پروفایل

استاد

• Privacy Preserving Data Repositories
• Database Management Systems
• Data Privacy and Security
• +۴ مورد دیگر

Dr. Kenneth Edwin Barker is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary, where he also serves as Director of the Institute for Security, Privacy and Information Assurance (ISPIA). His academic career spans several decades with significant contributions to database systems and privacy research. Dr. Barker earned his B.S. and M.S. in Computer Science from the University of Calgary in 1982 and 1984 respectively, followed by a Ph.D. in Computer Science from the University of Alberta in 1990. His educational background established the foundation for his extensive research career in database systems and information security. His primary research interests focus on Privacy Preserving Data Repositories , with specific attention to protecting privacy in mobile applications, understanding privacy's impact on data analytics, and architecting database management systems that inherently respect user privacy. His work also extends to distributed database environments, integration of legacy systems, and multidatabase environments. Dr. Barker's research bridges theoretical foundations with practical applications, making significant contributions to how privacy is implemented in real-world systems. An analysis of his recent publications reveals a strong trend toward practical privacy-preserving techniques for cloud data, social networks, and location-based services. His work consistently addresses the tension between data utility and privacy protection, developing innovative methods to maintain data value while safeguarding personal information. The publications span multiple subfields including encrypted search, graph privacy, high-dimensional data privacy, and privacy metrics. Best Paper Award at DBSec 2012 Best Paper Award at CODASPY 2012 Best Paper at BNCOD 2009 Dr. Barker has been instrumental in establishing privacy research infrastructure at the University of Calgary through his leadership of ISPIA. His research has attracted significant funding from various sources supporting privacy and security initiatives. While specific grant details aren't provided in the text, his extensive publication record indicates sustained research funding throughout his career. He has collaborated extensively with researchers both within and outside the University of Calgary, particularly with R. Alhajj and other colleagues on numerous projects. As Director of ISPIA, Dr. Barker oversees a research environment focused on advancing security and privacy technologies. The institute serves as a hub for interdisciplinary research, bringing together computer scientists, social scientists, and legal experts to address complex privacy challenges. His leadership has positioned the University of Calgary as a significant player in privacy research within Canada.

Ahmet Şensoyمشاهده پروفایل

دانشیار

• Asset Pricing
• Market Microstructure
• Sustainability
• +۳ مورد دیگر

Associate Professor Ahmet Şensoy specializes in Finance at Bilkent University's Faculty of Business Administration. He holds a PhD in Mathematics from Bilkent (2013) and has professional experience at Borsa Istanbul's Research and Business Development Department (2012–2017), with visiting research stints at Nasdaq OMX (2014–2015). His research focuses on Asset Pricing, Market Microstructure, Sustainability, and Corporate Finance. He has received the TÜBİTAK Incentive Award (2018) and TÜBA Young Scientist Award (2020). He serves as an associate editor for journals like International Review of Financial Analysis and a guest editor for Annals of Operations Research . His teaching includes Advanced Empirical Finance and Risk Management. Research Interests: - Asset Pricing Mechanisms - Cryptocurrency Market Dynamics - ESG Integration in Corporate Strategy - Behavioral Finance and Investor Behavior - Regulatory Impact on Corporate Productivity Publications highlight interdisciplinary themes such as pandemic economics (Production and Operations Management), green credit policies (Technological Forecasting and Social Change), and cryptocurrency market structures (Journal of Financial Research). His work bridges theoretical finance with real-world applications in emerging markets and sustainability. Editorial Roles: International Review of Financial Analysis International Review of Economics and Finance Research in International Business and Finance Emerging Markets Finance and Trade Grants and Advising: While specific grants aren't listed, his extensive publication record across top-tier journals indicates substantial research engagement. He collaborates with institutions like the TÜBİTAK and TÜBA.

Lukasz Szpruchمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Analysis
• Theoretical Machine Learning
• +۱۰ مورد دیگر

Lukasz Szpruch serves as Professor at the University of Edinburgh's School of Mathematics and Programme Director for Finance and Economics at The Alan Turing Institute. He leads the FAIR research programme on responsible AI adoption in financial services and co-investigates the UK Centre for Greening Finance & Investment (CGFI), directing partnerships with the National Office for Statistics, Accenture, Bill & Melinda Gates Foundation, and HSBC. He maintains affiliations with the Oxford-Man Institute for Quantitative Finance. His research focuses on probability theory , stochastic analysis , and theoretical machine learning , with current investigations into deep learning foundations, mean-field models, reinforcement learning, game theory, multiagent systems, and computational optimal transport. These theoretical frameworks are rigorously applied to financial economics problems including market dynamics, risk modeling, and regulatory compliance, emphasizing mathematical precision in AI system design. Recent publications reveal a strategic shift toward responsible AI deployment in finance , addressing large language model governance, synthetic data privacy, and non-asymptotic sampling theory. His work consistently bridges abstract mathematics with financial sector applications, particularly through the FAIR programme's industry collaborations that translate theoretical advances into practical frameworks for trustworthy AI adoption. As Principal Investigator of FAIR and CGFI co-Investigator, Szpruch manages significant research funding streams focused on AI ethics in financial services and sustainable finance. His academic leadership drives cross-sector initiatives where theoretical research directly informs regulatory policy development and industry best practices, though specific student mentoring details remain unspecified in source materials. Szpruch operates at the nexus of three critical research ecosystems: the FAIR programme's industry partnerships, CGFI's sustainability-focused finance research, and the Oxford-Man Institute's quantitative finance initiatives. These interconnected teams combine mathematical rigor with real-world financial applications, developing frameworks for AI assurance, green finance metrics, and synthetic data validation that address systemic challenges in modern financial systems.