Wei Xu is an Associate Professor at Georgia Institute of Technology's College of Computing and School of Interactive Computing, with affiliations to the Machine Learning Center. Their research bridges machine learning, natural language processing, and social media with focus areas in large language models, cultural bias mitigation, multilingual capabilities, and human-AI collaboration in text evaluation. NSF CAREER and Google Academic Research Award recipient Director of NLP X Lab PhD from New York University, BSMS from Tsinghua University Research interests span: Multilingual Multicultural LLMs addressing representational gaps and cultural adaptation in language models (NAACL 2025, ACL 2024); Robustness and Reasoning through dynamic AGI evaluations (ACL 2024, EMNLP 2024); Interdisciplinary NLP applications in security, healthcare, and law (EMNLP 2024, ACL 2024). Recent publications focus on multilingual alignment (NAACL 2025), privacy risk estimation (arXiv 2025), cultural bias analysis (ACL 2024), and medical text simplification (EMNLP 2024). Key themes include bias mitigation, multimodal processing, and practical LLM evaluation. Scientific Awards : NSF CAREER, Google/Sony/Criteo research awards, ACL'24 Best Social Impact Award, COLING'18 Best Paper Advising 15 PhD/MS/BSMS students including Yao Dou (human-centered LLM evaluation), Tarek Naous (multilingual LLMs), and alumni like Chao Jiang (Apple AI/ML) and Yang Chen (NVIDIA research scientist). Teaches graduate courses on NLP and LLMs.
Lucas Chancel is an Associate Professor of Economics at Sciences Po, affiliated with the Centre for Research on Social Inequalities (CRIS) and the Department of Economics. He is Co-Director of the World Inequality Lab at the Paris School of Economics (PSE), a Research Fellow at the Institute for Sustainable Development and International Relations (IDDRI), and Senior Advisor at the European Tax Observatory. He has held visiting positions at the London School of Economics (2021) and Harvard Kennedy School (2022). His research focuses on global income and wealth inequality , climate change , and tax policy , with a particular interest in the interplay between ecological transitions and social justice. He uses tax data, household surveys, and national accounts to analyze inequality trends across countries and over time. His recent publications span high-impact journals such as Nature Climate Change , Nature Sustainability , and the American Economic Journal: Applied Economics . Leading reports like the World Inequality Report (2018, 2022) and Climate Inequality Report (2023) reflect his role in shaping global discourse on inequality and sustainability. His work increasingly explores carbon inequality, wealth taxation, and climate finance, especially for the Global South. Selection of best books in economics – Financial Times (for 'Unsustainable Inequalities') Selection of best science books – Nature (for 'Unsustainable Inequalities') He supervises PhD students including Eulalie Saïsset, Philipp Bothe, and Yannic Rehm. His research is supported by collaborations with institutions like PSE, IDDRI, and the European Tax Observatory. He regularly contributes to public debate through op-eds in Le Monde and Time , and participates in international forums such as the World Economic Forum.
Stephen Billings is an Associate Professor of Finance at the Leeds School of Business, University of Colorado Boulder, where he holds the Global Real Estate Capital Markets Chair position. He serves as the faculty director of the MS in Real Estate program and research director for the CU Real Estate Center. His work spans multiple research centers including the Center for Research on Consumer Financial Decision Making and the Michael A. Klump Center for Real Estate. Billings received his PhD in Economics from the University of Colorado, a MS in urban planning from the University of North Carolina, and a BS in economics from Georgetown University. Prior to joining CU Boulder in 2016, he was faculty at the University of North Carolina Charlotte with appointments in both economics and public policy, where he also served as faculty director for the real estate center. His research focuses on the intersection of housing, schools, neighborhoods and crime, addressing critical policy issues including the impact of public investment in light-rail transit on neighborhoods, school segregation's influence on academic achievement and crime, neighborhood gentrification causes, lead-based paint in low-income housing, and the effects of sea level rise and natural disasters on neighborhood sorting and household finances. Billings employs sophisticated analysis of large micro-datasets with studies based on data and policies in Charlotte, NC and Denver, CO. His work connects urban economics with public policy, demonstrating how neighborhood environments shape individual outcomes across multiple dimensions. Billings' recent publication record demonstrates a consistent focus on neighborhood effects, school choice impacts, crime economics, and housing market dynamics. His work frequently examines the intersection of race, housing, and economic outcomes, with particular attention to policy implications. He has developed innovative methodological approaches to studying residential amenities and neighborhood spillovers, with increasing attention to climate change impacts on housing markets. His research appears in top journals including The Quarterly Journal of Economics, American Economic Review: Insights, and Journal of Urban Economics. As an educator, Billings teaches undergraduate and masters classes in real estate finance and economics, as well as doctoral and masters level courses on cost-benefit analysis and statistical methods. He has extensive consulting experience conducting economic impact studies, including assessments of North Carolina's public higher education system, affordable housing needs in Colorado communities, and the economic effects of marijuana legalization on property markets. His practical policy work complements his academic research, creating a bridge between theoretical insights and real-world applications. Billings leads significant research initiatives through the CU Real Estate Center, where he directs studies examining the impact of business improvement districts and other urban development policies. His work bridges academic research with practical policy applications, making substantial contributions to our understanding of how housing, education, and neighborhood environments shape individual outcomes and community development. His December 2023 memo on the HUD Officer Next Door Program exemplifies his engagement with current housing policy issues.
Chendi Zhang is a Professor of Finance at the University of Exeter Business School. He serves as the founding Director of the Exeter Sustainable Finance Centre and Director/Treasurer of the Global Research Alliance for Sustainable Finance and Investment. Previously, he was Associate Dean for Research & Impact (2021-2025) and Director of Research for Finance and Accounting (leading REF2021 submission). He holds affiliations with the Global Systems Institute and Environment and Sustainability Institute, contributing to UN Sustainable Development Goals including Climate Action and Responsible Consumption. Education PhD in Financial Economics from Tilburg University MRes in Finance from Tilburg University MSc in Economics from Tilburg University BSc in International Finance from Shanghai Jiao Tong University Research Focus Professor Zhang's research explores sustainable investing, corporate finance, and behavioral finance with emphasis on ESG integration, climate risk, and stakeholder governance. His work examines how environmental/social factors influence financial markets, corporate decision-making, and asset pricing through empirical and theoretical frameworks. Recent studies analyze biodiversity's financial impact, carbon pricing mechanisms, income inequality disclosures, and ESG resilience during crises (e.g., COVID-19, Ukraine conflict). His research identifies market inefficiencies related to climate sensitivity, gambling sentiment, and dividend policies while exploring corporate governance in state-owned enterprises. Funding and Recognition Research funded by UKRI Natural Environment Research Council, British Academy, BNY Mellon, Royal Bank of Canada, and World Bank. Work featured in The Economist , Wall Street Journal , and Forbes . Articles published in top journals including Management Science and Journal of Financial Economics , cited over 10,000 times. Professional Service Vice Chair of Research Committee for Chartered Association of Business Schools. External examiner for Imperial College London. Previous appointments at University of Cambridge, University of Warwick, University of Sheffield, and Tilburg University.
Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.
Marc-Antoine Dilhac serves as Associate Professor in the Department of Philosophy at the University of Montreal's Faculty of Arts and Sciences, where he also directs governance and international collaboration initiatives. He holds leadership roles as Scientific Director of Algora Lab and leads the Ethics and Politics research axis at the Centre de recherche en éthique (CRÉ). His academic affiliations extend to the Centre d'études et de recherches internationales (CÉRIUM) and the Canada Research Chair in Public Ethics and Political Theory (2014-2019). Education: PhD in Philosophy and Political Science, University of Paris I: Panthéon-Sorbonne (2009) Master 2 in Philosophy and Political Science, University of Paris I: Panthéon-Sorbonne (2003) Agrégation in Philosophy, University of Paris I: Panthéon-Sorbonne (2002) Dilhac's research spans ethics, political philosophy, and AI governance, with particular focus on democratic tolerance, multiculturalism, and the ethical implications of artificial intelligence. His work bridges theoretical political philosophy with practical applications in AI policy development, sustainable finance, and democratic institutions. He has contributed significantly to UNESCO's Recommendation on the Ethics of Artificial Intelligence and leads initiatives examining AI's impact on French-speaking culture and democratic values. His recent publications reveal a clear trajectory from foundational work on tolerance and justice theory toward contemporary AI ethics challenges. The thematic evolution shows increasing engagement with practical governance frameworks, particularly in finance and education sectors, while maintaining strong philosophical grounding in democratic theory and institutional design. Key Awards and Recognition: Canada Research Chair in Public Ethics and Political Theory (2014-2019) Banting Postdoctoral Fellowship (2011) Contributor to UNESCO's Recommendation on AI Ethics (2021) Dilhac has supervised over 15 graduate students across philosophy, political science, and interdisciplinary AI ethics programs. His research is supported by multiple grants from FRQSC, FRQNT, SSHRC, and MITACS, totaling over $2 million CAD. Current projects include the Generative AI Ethics Framework for Educational Technology (2024-2025) and the Sustainable Finance AI Tools project examining ESG/DEI disclosure analysis. He co-founded and leads the CORDÉ research group on corruption and democracy, and directs Algora Lab's work on AI governance. His upcoming February 2025 panel at Université Laval will address AI and Francophone cultural perspectives ahead of the Paris AI Action Summit.
Witold J. Henisz serves as Vice Dean and Faculty Director of the Impact, Value, and Sustainable Business Initiative at The Wharton School, University of Pennsylvania, holding the Deloitte & Touche Professorship in Management. His research centers on political and social risk identification, ESG impact materiality, and corporate diplomacy frameworks that transform stakeholder relationships into strategic assets. His educational background includes a Ph.D. in Business and Public Policy from UC Berkeley's Haas School and an M.A. in International Relations from Johns Hopkins SAIS. Henisz has served as Departmental Editor at Journal of International Business Studies and Associate Editor at Strategic Management Journal , reflecting his scholarly influence. Research interests converge on geopolitical risk quantification, stakeholder engagement optimization, and sustainable business model innovation. His work demonstrates how political hazards materially impact firm valuation and how corporate diplomacy can mitigate conflict through strategic stakeholder alignment. Recent publications leverage massive media datasets (4+ billion articles) to model populism dynamics, indigenous land conflicts, and ESG-credit risk linkages. Award highlights include the Aspen Institute Ideas Worth Teaching Award (2020), Iron Prof recognition (2019), and Academy of International Business Fellowship. His geostrategy framework Geostrategy by Design (2024) provides executives with actionable methods for navigating geopolitical volatility. Aspen Institute Ideas Worth Teaching Award (2020) Iron Prof recognition (2019) Academy of International Business Fellow (2014-present) Multiple Wharton Excellence in Teaching Awards (2006-2021) Industry Studies Association Best Paper Award (2019) Henisz consults through PRIMA LLC for multinational firms (Rio Tinto, Shell), financial institutions (Eaton Vance, World Bank), and NGOs. His executive education programs train leaders in ESG integration and geopolitical risk management, while his KEROVKA crisis simulation develops real-time strategic response capabilities. Media frequently cites his expertise on ESG controversies, with 50+ major publications featuring his analysis since 2022 including Financial Times , Bloomberg , and Wall Street Journal .
Adam B. Badawi is a Professor of Law at the University of California, Berkeley - School of Law, where he maintains an active research agenda at the intersection of law, finance, and corporate governance. His scholarly work has established him as a leading expert in contract law, M&A transactions, securities litigation, and ESG compliance. Professor Badawi's research interests span multiple dimensions of corporate law and legal theory. His work on contractual complexity, particularly in debt agreements and M&A transactions, has provided significant insights into how legal drafting affects economic outcomes. He has extensively examined the business judgment rule, board authority, and the role of courts in corporate governance. More recently, his research has expanded into ESG-related topics, analyzing how environmental, social, and governance considerations intersect with traditional corporate law frameworks. His methodological approach often combines legal analysis with empirical techniques, including text analysis of legal documents and event studies of litigation outcomes. Professor Badawi's scholarly output demonstrates consistent high-impact research across multiple domains of corporate law. His early work focused on foundational aspects of contract theory and interpretation, while his more recent publications reflect growing interest in ESG metrics, executive compensation structures tied to sustainability goals, and the evolving regulatory landscape. The trajectory of his research shows a progression from theoretical legal analysis toward increasingly empirical and interdisciplinary approaches that bridge law with finance and data science. Professor Badawi has collaborated with numerous scholars across different institutions, including Duke University, Stanford Law School, and the University of Chicago Law School, reflecting the interdisciplinary nature of his work and its relevance to multiple academic communities.
Axel Dreher is Professor of International and Development Politics at Heidelberg University’s Alfred-Weber-Institute for Economics. He is a leading scholar in political economy and development economics, with extensive affiliations including the German National Academy of Sciences Leopoldina, CEPR, CESifo, KOF, AidData, and EUDN. He serves as Editor of the Review of International Organizations and Co-Director of the Center for European Studies (CefES) at the University of Milan-Bicocca. Ruprecht-Karls-University Heidelberg (2011–Present) Georg-August University Göttingen (2008–2011) ETH Zurich (2005–2008) University of Konstanz (2004–2005) University of Exeter (2003–2004) University of Mannheim (2000–2003) His research centers on political economy , economic development , foreign aid , and globalization . He investigates how political institutions, leadership incentives, and geopolitical interests shape development outcomes and international financial flows. His work often employs empirical and geospatial methods to analyze aid allocation, corruption, migration, and the rise of emerging donors like China. The 15 most recent publications reflect a strong focus on China’s overseas development finance , regional favoritism , and the political determinants of aid . Keywords span political economy, development economics, and international relations, with subfields including Chinese foreign aid, geospatial analysis, governance, institutional quality, and South-South cooperation. His recent book Banking on Beijing and award-winning paper Wedded to Prosperity exemplify his cutting-edge contributions to understanding the political economy of development. Scientific awards include: 2023 Best Paper Award, Political Economy of Aid Society (PEAS) 2023 Best New Dataset Award, International Political Economy Society International Geneva (IG) Award 2020 Excellence in Refereeing Award, World Bank Economic Review (2019) 2010 KfW Excellence Award for policy-relevant research Multiple DFG and Swiss research grants Dreher has advised over 30 PhD students on topics ranging from aid effectiveness to political violence and migration. He has received major research grants from the German Research Foundation (DFG), Swiss Network for International Studies (SNIS), European Commission, and VolkswagenStiftung. His leadership roles include organizing the annual Political Economy of International Organizations conference series and serving on editorial boards of top journals such as World Development and Defence and Peace Economics . He is actively involved in academic labs and research networks including the Courant Research Center on Poverty and Equity at Göttingen, AidData at William & Mary, and the Center for European Studies (CefES). His current work continues to explore the intersection of politics, development, and globalization, particularly through georeferenced data and natural experiments.
Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.
Timo Minssen is Professor of Law at the University of Copenhagen (UCPH) and the Founding Director of UCPH's Center for Advanced Studies in Bioscience Innovation Law (CeBIL). He also holds affiliations as an LML Research Affiliate at the University of Cambridge and an Inter-CeBIL Research Affiliate at Harvard Law School's Petrie-Flom Centre. With extensive expertise in Intellectual Property, Competition, and Regulatory Law, Minssen focuses on the legal aspects of emerging health and life science technologies, including genome editing, big data, artificial intelligence, and quantum technology. His educational background includes a German law degree (Staatsexamen) from Georg-August-University in Göttingen, and Swedish biotech & IPR related LL.M., LL.Lic., and LL.D. degrees from Lund University and Uppsala University. His PhD thesis on the patentability of biopharmaceutical technology in the US & Europe received the prestigious Swedish King Oscar award. 2024: TUM Global Visiting Professor, Technical University of Munich (Germany) 2016: Visiting Research Fellow, University of Cambridge (UK) 2014: Visiting Research Fellow, University of Oxford (UK) 2013-14: Visiting Scholar, Harvard Law School (US) 2012: LL.D. - Doctor of Laws (Swedish "juris doktor"), EU/US patent law, Lund University, Sweden Minssen's research spans AI & Big Data in Health & Life Sciences, Sustainable and responsible innovation & tech transfer, Pharmaceutical-, Life Science- & Biotech Law, Comparative European & US Patent Law, Intellectual Property Law & Open Innovation, and EU Competition- & US Antitrust Law. His work addresses legal issues throughout the lifecycle of health and life science products and processes, from R&D regulation to technology transfer and commercialization. His extensive publication record includes 7 books and over 200 articles and book chapters published in leading journals such as Science, Nature Biotechnology, JAMA, and Harvard Business Review. His research has been featured in The Economist, Financial Times, and other major media outlets. Minssen's recent work shows a strong focus on AI regulation, quantum technology law, and data governance in health contexts, reflecting the evolving landscape of technology and law. Scientific Awards and Recognition King Oscar award for best Jur. Dr. thesis (2014) Jorcks Fonds Forsknings Pris (Jorck's Foundation Research Prize) (2017) Awapatent Research Prize (2009) Max Planck Research Scholarship (2005) Visiting Scholar appointments at Harvard Law School, University of Oxford, and University of Cambridge Recipient of a Novo Nordisk Foundation Grant for a "Collaborative Research Program in Biomedical Innovation Law" (2018) As an advisor, Minssen serves international organizations including the WHO, WIPO, and EU Commission. He has supervised numerous PhD students in areas including pharmaceutical law, biotechnology patents, and antimicrobial resistance. His current research projects include the Novo Nordisk Foundation's International Collaborative Bioscience Innovation & Law (Inter-CeBIL) Programme (50 million DKK), CLASSICA: EU Horizon Project on AI-assisted surgery, and AI@Care: Law and Ethics and Algorithmic Bias in Healthcare. Minssen leads the Center for Advanced Studies in Bioscience Innovation Law (CeBIL), which serves as a hub for interdisciplinary research on the intersection of law, technology, and innovation in the health and life sciences. The center collaborates with institutions worldwide to address pressing legal challenges in emerging technologies.
Andrew Green serves as Professor and Metcalf Chair in Environmental Law at the University of Toronto Faculty of Law, where he teaches environmental law, climate change law, administrative law, natural resources law, judicial decision-making, and international trade. His scholarly contributions span multiple legal domains with particular emphasis on the intersection of environmental regulation and administrative governance. Green's research interests encompass Environmental Law , Administrative Law , Climate Change Policy , Judicial Decision-Making , and International Trade Law . His empirical approach to legal scholarship has produced significant insights into how judges make decisions, particularly in administrative contexts, and how trade rules interact with domestic environmental regulations. His work often bridges theoretical legal analysis with practical policy implications. His recent publications reveal a strong focus on Canadian climate policy implementation, judicial behavior in high courts, and the evolving standards of review in administrative law. The research demonstrates increasing interdisciplinary integration, incorporating machine learning approaches to analyze judicial decisions and examining the systemic challenges in environmental governance. His scholarship consistently addresses the tension between regulatory effectiveness and legal accountability. Metcalf Chair in Environmental Law Past co-President of the Society for Empirical Legal Studies Past President of the Canadian Law and Economics Association Former Associate Dean at the Faculty of Law Chair of the University of Toronto Academic Appeals Committee (2009-2018) Before joining the Faculty of Law, Green practiced environmental law in Toronto for six years, handling both litigation (including prosecutions, administrative appeals, and civil actions) and transactional work. His practical experience informs his scholarly work on regulatory design and implementation. His research has influenced policy discussions on climate change, securities regulation, and administrative law reform in Canada.
Michael O. Wood is an Associate Professor in the School of Environment, Enterprise and Development (SEED) at the University of Waterloo and currently serves as the Associate Dean of Work-Integrated Learning in the Faculty of Environment. He holds a Ph.D. in Strategy and Sustainability from the Ivey Business School at Western University, an M.A. in Environmental Studies in Sustainability Management from Western University, and a B.A. in Science from the University of Guelph. Ph.D. in Strategy and Sustainability, Ivey Business School, Western University M.A. in Environmental Studies in Sustainability Management, Western University B.A. in Science, University of Guelph Dr. Wood's research focuses on organizational responses to sustainability challenges through the lenses of space, time, scale, and social license to operate. His work spans industries like insurance, mining, carbon management, waste management, and global security, with a particular emphasis on the Blue Economy and climate change. He has contributed to frameworks for water risk assessment, sustainable packaging practices, and the role of governance in sustainability-financial performance linkages. His recent publications address transdisciplinary tools for water risk management, workforce practices' impact on sustainability, ETS policy effects, and disaster response patterns in multinational corporations. While no scientific awards are explicitly mentioned, his work has been published in journals such as the International Journal of Disaster Risk Reduction and Economic Systems Research . Dr. Wood teaches courses like Introduction to Environment and Business and Environment and Business Project , and he collaborates with researchers like Sandhu, Weber, and Bansal on sustainability-related projects. His studies often incorporate mixed-methods analysis and policy reviews for sustainable resource management in Ontario and Canada.
Dr. Matloob Khushi serves as a Senior Lecturer in Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 25 years of combined academic and industry experience, his work bridges theoretical AI advancements with practical applications in finance, healthcare, and public health domains. His research has established significant collaborations with international banks, healthcare institutions, and technology startups. Dr. Khushi earned his PhD in AI and Data Science from the University of Sydney, developing novel algorithms for genomic data analysis. His postdoctoral research at the Children's Medical Research Institute (2014-2017) pioneered AI-based diagnostic tools for medical condition detection. More recently, he developed bioinformatics tools for environmental assessment under a UKRI NEC grant. Research Focus FinTech Innovation : Creator of the SS Ratio (incorporating volatility and drawdown sensitivities), advanced portfolio optimization models, and synthetic data generation techniques for fraud detection and credit risk assessment Bioinformatics Leadership : Developer of AI tools for genomic analysis and early cancer detection, featured in SBS News and The Daily Telegraph Public Health NLP : Architect of systems for vaccine misinformation detection, mental health monitoring, and health surveillance on social media His publication portfolio shows consistent growth from foundational bioinformatics work to current multimodal AI applications, with increasing interdisciplinary collaboration across finance and healthcare sectors. Awards and Recognition Ranked among Stanford/Elsevier's top 2% of global AI scientists Recipient of Best Paper Awards from IEEE Transactions on Computational Social Systems and PeerJ Media recognition for cancer detection research by major news outlets Mentorship and Teaching Dr. Khushi has supervised six PhD candidates to completion and over 100 postgraduate dissertations. He teaches CS3002 Artificial Intelligence and mentors students in Final Year Projects. His supervision focuses on Deep Learning/NLP for FinTech prediction and Public Health Surveillance applications, emphasizing practical implementation of theoretical concepts.
Vasant Dhar is the Robert A Miller Professor of Business and Professor of Data Science at the Leonard N. Stern School of Business at New York University. He serves as Director of Industry Relations and specializes in Technology, Operations, and Statistics. Joining Stern in 1983, Professor Dhar has established himself as a leading expert in artificial intelligence, data science, and financial technology. Professor Dhar's educational background includes: Ph.D. in Artificial Intelligence from the University of Pittsburgh (1984) M.Phil. from the University of Pittsburgh (1982) B.Tech. in Chemical Engineering from the Indian Institute of Technology, Delhi (1978) His research focuses on how risk influences our trust in AI systems, demonstrating the existence of an "automation frontier" that expresses a tradeoff between how often machines will be wrong and the consequences of their errors. Professor Dhar examines how innovations such as Artificial Intelligence impact our lives, and how we can create technology and policy for a better future in a world of increasingly intelligent machines. His work spans financial applications of AI, where he was among the first to bring machine learning to Wall Street in the 1990s, founding the machine-learning-based hedge fund SCT Capital Management. Professor Dhar's recent publications reveal a strong focus on the practical applications and societal implications of AI. His work addresses critical issues including AI reliability in financial document analysis, the governance of AI companies, ethical considerations in biometric payments, and the evolving relationship between humans and increasingly intelligent machines. His research demonstrates how AI is transforming various sectors while raising important questions about trust, accountability, and the future of work. Among his notable recognitions is the Robert A Miller Professorship, an endowed chair position at NYU Stern. His research has been funded by grants from industry and government agencies such as the National Science Foundation. Professor Dhar teaches courses on Systematic Investing, Data Science, Prediction, and Tech Innovation. He has written over 100 research articles and is the host of the "Brave New World" podcast, which explores how technology and virtualization in the post-COVID era is transforming humanity. He publishes fortnightly at vasantdhar.substack.com and is a frequent speaker in academic and industrial forums.
