Maria Rita D’Orsogna is a Professor of Mathematics at California State University, Northridge (CSUN) and holds an Adjunct Associate Professor appointment in the Department of Computational Medicine at UCLA. She earned her PhD in Theoretical Physics from UCLA in 2003 and has since bridged mathematical modeling with interdisciplinary research in biology, social dynamics, and criminology. Her work utilizes statistical mechanics and applied mathematics to study collective behavior, viral dynamics, and societal challenges. Her research spans Biological swarming and self-organization Crime pattern modeling and policy analysis Drug addiction relapse dynamics Environmental activism against offshore oil drilling Recent publications focus on Medical decision-making optimization Age-specific overdose mortality forecasting Radicalization and social network dynamics Criminal career empirical studies Hematopoiesis modeling . She has secured funding from the NSF and Army Research Office. Teaching experience includes differential equations, multivariable calculus, and mathematical biology at CSUN and UCLA. She has mentored students through RIPS, IPAM, and PUMP programs. As Associate Director of UCLA’s Institute for Pure and Applied Mathematics (2018–2021), she promoted interdisciplinary research. Her environmental advocacy in Italy led to national policy changes banning coastal oil drilling, earning her recognition as the "Erin Brockovich of Italy".
John Rand is a Professor in Development Economics at the Department of Economics, University of Copenhagen, where he has been employed since 2021. He previously served as Professor (mso) at the Faculty of Social Sciences (2015-2020) and Faculty of Science (2011-2014), Associate Professor (2008-2011), and Assistant Research Professor (2005-2008) at the same institution. He is currently Vice-chair of The Consultative Research Committee for Development Research (FFU) and co-director of the Development Economics Research Group (DERG). Professor Rand's research focuses primarily on development economics, with specific expertise in applied econometrics, impact measurement, industrial economics, and interdisciplinary methods. His work spans topics including climate-smart agriculture, economic policy in developing countries, trade and productivity, and governance issues. He leads multiple externally funded research projects including 'Energy transition and climate-smart agriculture in Vietnam', 'Economic Research and Policy Making in Kenya', and 'Sedentarization and climate change resilience in Nigeria'. His extensive publication record shows a strong focus on empirical research in developing countries, particularly in Africa and Southeast Asia. His recent work demonstrates consistent attention to practical policy implications, with a growing emphasis on climate change adaptation, resource allocation efficiency, and the intersection of economic development with environmental sustainability. His research often employs rigorous quantitative methods to address real-world development challenges. Professor Rand is actively involved in several research networks including the Copenhagen Center for Disaster Research (COPE) as part of the steering group and the UCPH Migration Research Platform. He serves as Head of Studies for Global Development and teaches Development Economics (BA) and Theories, Facts and Current Issues (MSc Global Development). He has presented his research at numerous international conferences including UNU WIDER conferences, Nordic Conference in Development Economics, and various country-specific development forums. His work has been referenced in policy sources and picked up by news outlets, indicating its relevance to current development debates.
Larry D. Wigger serves as Teaching Professor of Supply Chain Management and Faculty Director of Assessment and Accreditation at the Henry W. Bloch School of Management, University of Missouri-Kansas City. With over twenty years of industry experience spanning strategic leadership, operations, and global project management, he integrates practical expertise into academic instruction. His educational background includes: MA in Economics from University of Missouri-Kansas City MS in Supply Chain Management and general MBA from Elmhurst University BA in Business Administration from William Jewell College He is currently completing his PhD dissertation in Economics at UMKC with a co-discipline in Public Affairs and Administration. Wigger's research bridges supply chain visibility through blockchain technology, public policy responses to automation-induced unemployment, and modern monetary theory constraints. His work examines systemic economic structures while addressing practical industry challenges in labor markets and capital allocation. Recent publications demonstrate consistent thematic focus on securing supply chains via traceability systems, analyzing labor-housing dynamics in critical materials networks, and developing holistic economic frameworks for supply chain analysis. His scholarship uniquely connects theoretical economics with tangible supply chain disruptions and policy interventions. Though no formal advisees are documented, Wigger's industry leadership included equity positions in construction startups serving petroleum, retail, and hospitality sectors, plus three years managing post-earthquake reconstruction in Port-au-Prince. His accreditation role indicates significant administrative responsibilities within the business school.
Dr Hao Li is a Lecturer in Finance at Cardiff Business School, Cardiff University since 2021. Previously, he held positions as Senior Lecturer in Finance at Swansea University (2020-2021) and Assistant Professor in Finance at Heriot-Watt University (2014-2019). His academic career follows industry experience as an equity analyst and senior research fellow in investment trusts. Education : PhD in Finance (University of Stirling), MSc in Investment Analysis (University of Stirling), BA in Business Administration (Sun Yat-sen University) Teaching : Leads MSc Finance and MSc Finance with Financial Technology programs; teaches modules on investment management and corporate reporting. Dr Li's research focuses on Corporate Governance and Corporate Finance , with publications examining financial analyst networks, cross-border M&A risks, cash management strategies, and executive compensation impacts. His work spans high-impact journals like International Review of Economics & Finance and Journal of Environmental Management . Research Trends : Recent articles analyze social network effects in financial forecasting, climate risk in international investments, and cash flow dynamics under geopolitical uncertainty. Methodologically, his work combines empirical analysis of UK, African, and global markets with theoretical governance frameworks. Scientific Awards : Fellow of Higher Education Academy (FHEA) Supervision : Currently supervising PhD student Mengjia Li. His professional trajectory reflects expertise in academic finance, industry experience in equity analysis, and interdisciplinary applications in environmental and geopolitical risk contexts.
Scott Nelson is an Associate Professor of Finance at the University of Chicago Booth School of Business. His research bridges consumer credit markets, regulatory frameworks, and behavioral economics, with a focus on how information asymmetries and algorithmic decision-making shape market outcomes. He has contributed to understanding the impacts of the 2009 CARD Act, eviction protections in housing markets, and fairness in credit scoring systems. PhD in Economics, Massachusetts Institute of Technology BA (summa cum laude) in Economics and Mathematics, Yale College Nelson's work employs diverse data sources, including credit reports, court filings, and tax records, combined with structural models to analyze consumer and firm behavior. Key themes include regulatory efficiency, validity disparities in predictive models, and the welfare implications of policy interventions. His articles reveal trends in algorithmic regulation (2025), eviction dynamics (2025), credit scoring disparities (2024), and public finance impacts on Chinese real estate (2023). These publications highlight interdisciplinary methodologies integrating economics, law, and data science. Scientific awards include the AQR Top Finance Graduate Award (2018) and National Science Foundation Graduate Research Fellowship. He has held postdoctoral roles at the Consumer Financial Protection Bureau/Princeton University and visiting research positions at the Federal Reserve Bank of Boston.
Christian Bayer is a Professor of Economics at the University of Bonn , specializing in macroeconomics with a focus on inequality , heterogeneous agent models , and business cycles . His research explores the interplay between economic shocks and income inequality, emphasizing the role of financial frictions in shaping macroeconomic outcomes. Key Research Areas: Macroeconomics, Inequality, Heterogeneous Agent Models, Financial Frictions, Business Cycle Analysis Recent Publication Trends: 2024 work on U.S. business cycle inequality, monetary unions, and pandemic consumption dynamics; 2023 studies on fiscal policy liquidity channels, energy shock responses, and wage determinants. Scientific Awards: Three ERC Grants for inequality research Collaborative Approach: Bayer actively mentors young researchers through international collaborations and peer-to-peer team dynamics, fostering interdisciplinary work with economists like Benjamin Born, Ralph Luetticke, and Moritz Kuhn. He leads projects on topics such as monopsony in East Germany and HANK model applications. Contact: Department of Economics, University of Bonn; christian.bayer@uni-bonn.de
Novi Quadrianto is a Professor of Machine Learning at the School of Engineering and Informatics, University of Sussex, where he joined as a Lecturer in February 2014. He is currently a Principal Investigator on three active EU grants: BayesianGDPR (ERC), TANGO (EU Horizon RIA), and Act.AI (ERC Proof of Concept). He also holds an Adjunct Professor position in Data Science at Monash University, Indonesia, and serves as Strategic Lab co-Leader of the BCAM Severo Ochoa Strategic Lab on Trustworthy Machine Learning in Bilbao, Spain. His educational background includes a PhD in Machine Learning from the Australian National University (2012) and a BEng in Electrical and Electronics Engineering from Nanyang Technological University, Singapore. During his PhD, he conducted research at multiple international institutions including HIIT-Finland, Yahoo! Research-US, University of Alberta-Canada, Fraunhofer IAIS-Germany, and IST Austria. From 2012-2014, he was a Newton International Fellow of the Royal Society at the University of Cambridge. Professor Quadrianto directs the Predictive Analytics Lab (PAL) since 2017, which focuses on "Responsible AI" research developing AI models that embed fairness, accountability, transparency, and trustworthiness. His research spans algorithmic fairness, federated learning, and computer vision, with applications in sustainable development, healthcare, and finance. His work has been funded by prestigious organizations including the European Research Council, EPSRC, and HM Treasury. His publications reveal a strong focus on addressing challenges in AI fairness, robustness, and privacy, particularly in dynamic environments and heterogeneous data settings. Recent work explores performative prediction, diversity-driven learning, and efficient vision transformer inference, demonstrating his leadership in cutting-edge machine learning research. European Research Council ERC Proof of Concept Grant (2023) Guarantor Researcher for BCAM Severo Ochoa Excellence Accreditation (2023) European Lab for Learning and Intelligent Systems (ELLIS) Scholar/Fellow (2020) European Research Council ERC Starting Grant (2019) Newton International Fellowship (2012) Microsoft Research Asia Fellowship (2009) Professor Quadrianto currently supervises six PhD students and five postdoctoral researchers. He has served as Action Editor for Transactions on Machine Learning Research since 2022 and as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence since 2016. He has also been an Area Chair for major conferences including NeurIPS, ICML, and AAAI. His PAL laboratory hosts a team of 15 members focused on inter-disciplinary AI research with domain experts across various sectors. The PAL Lab operates three innovation strands: AI for Sustainable Development (supporting UN SDGs), AI for Healthcare (transforming health outcomes), and AI for Finance (personalized loan decision-making). The lab also leads initiatives in Diversity & Inclusion in AI and offers Pro-Bono Office Hours to organizations seeking guidance on machine learning aspects.
Christophe REVELLI is a Senior Professor of Sustainable Finance and Impact Investing at KEDGE Business School. He holds the KEDGE-CANDRIAM Research Chair "Finance Reconsidered: Addressing Sustainable Economic Development" and co-holds the KEDGE-LCL Chair in Impact Finance. He founded the first European MSc in Sustainable Finance in 2016 and directed it for six years. Education: PhD in Management Sciences from the University of Montpellier His research focuses on embedding sustainability into financial systems through ESG data, green bonds, climate risk modeling, and regulatory reforms. He advocates for financial instruments that align with societal and ecological needs, targeting SDGs and biosphere integration. Recent publications emphasize critical perspectives on asset management sustainability, regulatory challenges, and ecological risk-free assets. These works span subfields like ESG integration, climate risk prediction, and ethical finance frameworks. Scientific Awards RIODD-VIGEO research prize (2012) SAB Trophy (2015) Business Ethics: A European Review 2nd Best Article Award (2015-2020) FIR-PRI 2018 pedagogical innovation prize He advises PhD and Master's students, including Mélanie Comble and Anatole Douaud, who received FIR-PRI awards for their theses. His work bridges academic research, industry training for asset managers, and media contributions across platforms like Le Monde , The Financial Times , and The Conversation .
Chris Monico is an Associate Professor in the Department of Mathematics & Statistics at Texas Tech University . He has been a faculty member there since 2003, following post-doctoral research at the University of Notre Dame. Education B.S. in Mathematics – Monmouth University M.S. in Mathematics – University of Notre Dame Ph.D. in Mathematics – University of Notre Dame Research Focus Monico’s scholarship centers on the intersection of cryptology , computational algebra , and number theory . A significant recent thrust has been the application of machine-learning techniques to mathematical finance , evidenced by work on random-forest models for option pricing and high-frequency trading risk metrics. Parallel lines of inquiry include post-quantum cryptographic schemes built on tropical algebra and semigroup actions, as well as classical problems in Ramsey theory and combinatorial semigroups . Publication Trends Between 2015 and 2025 Monico has published prolifically, with a clear shift around 2020 toward mathematical finance and machine-learning applications , alongside continued output in algebraic cryptanalysis and combinatorics . His 2024–2025 articles emphasize data-driven models in trading, whereas 2020–2021 works concentrate on cryptanalyses of tropical and group-based key-exchange systems. Earlier contributions focus on computational number theory and semigroup-based cryptography. Contact Information Email: c.monico@ttu.edu Phone: 806-834-4144 Office: Department of Mathematics & Statistics, Texas Tech University, 1108 Memorial Circle, Lubbock, TX 79409-1042 Advising & Grants No specific doctoral or master’s students, funded grants, or named awards are detailed in the provided text. Laboratory or Research Group The text does not mention any dedicated laboratory or research group.
Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .
Josh Lerner is a leading authority in venture capital and entrepreneurship, holding the Jacob H. Schiff Professor of Investment Banking at Harvard Business School with joint appointments in Finance and Entrepreneurial Management. His career spans academia, policy analysis, and cross-sector research collaborations. Yale College (Special Divisional Major in Physics & History of Technology) Ph.D. in Economics, Harvard University Research Focus: Josh specializes in venture capital , private equity , and their economic implications. Key contributions include analyzing: Structural dynamics of venture capital organizations Patent systems' impact on high-tech firm strategies Public-private innovation policies Global entrepreneurship ecosystems Long-term investment challenges Scientific Recognition: Josh has been honored with the prestigious Jacob H. Schiff Professorship, reflecting his significant contributions to investment banking scholarship. Academic Leadership: He has pioneered educational programs including: Private Equity Finance course for MBAs (since 1993-94) Doctoral entrepreneurship curriculum Annual executive education in Boston & Beijing Co-editor of Innovation Policy and the Economy Research Impact: Through his National Bureau of Economic Research working groups on Entrepreneurship and Innovation Policy, and international collaborations like his World Economic Forum study, Josh continues to shape global understanding of capital markets and innovation ecosystems.
Jack Peltz, PhD, serves as an Assistant Professor in the Department of Psychology, Philosophy, and Neuroscience Programs at the State University of New York at Brockport. His academic career focuses on the intersection of developmental psychopathology, sleep science, and family systems dynamics, with particular emphasis on adolescent and college-age populations. His educational background includes: PhD in Clinical Psychology (Concentration: Developmental Psychopathology; Certificate: Quantitative Methods), University of Rochester, 2013 MA in Clinical Psychology, University of Rochester, 2010 MA in Child Development (Concentration: Clinical and Developmental Psychology), Tufts University, 2007 BA in Japanese, Middlebury College, 1996 Dr. Peltz's research program centers on developmental psychopathology and sleep regulation , investigating bidirectional relationships between sleep disturbances and family functioning. As a clinical psychologist specializing in behavioral sleep health for children and families, he develops community-based interventions to promote sleep hygiene. His work uniquely bridges quantitative methodology with clinical applications, examining how economic stressors, social media influences, and developmental transitions impact sleep-wake patterns. Analysis of his recent publications (2023-2025) reveals three dominant research trajectories: (1) sleep as a mediator between adverse childhood experiences and psychological outcomes, (2) technology-mediated sleep disruptions (including wearable devices and social media), and (3) developmental transitions (puberty, college entry) affecting sleep-family dynamics. His methodological approach combines longitudinal designs, ambulatory EEG, and mixed-methods analysis to capture real-time sleep-family interactions across diverse populations including youth with visual impairments.
E. Geoffrey Love is an Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign, part of the Gies College of Business. He serves as Academic Co-Director of the Hoeft Technology and Management Program and Academic Director of the Carle Executive Education Program. With a PhD in Organizational Behavior from Harvard University (1997) and an AB in Applied Mathematics (1982), Love specializes in organizational innovation, corporate reputation, and institutional change. His research explores how firms navigate social evaluations, strategic innovation, and leadership dynamics. Education: PhD in Organizational Behavior (Harvard, 1997); AB in Applied Mathematics (Harvard, 1982) Positions: Academic Co-Director, Hoeft T&M Program (2024–present); Associate Professor (2016–present); Assistant Professor (2009–2016) Love's research interests span organizational design, leadership, and the impact of CEOs on corporate reputation. His work integrates institutional theory, strategic management, and behavioral insights. Notable studies include the dynamics of corporate reputation following downsizing, CEO succession, and the role of chief innovation officers. His recent articles highlight attention-based strategic leadership and innovation ecosystems across G-20 nations. Awards: Dean’s Impact Award (2022), Excellence in Graduate Teaching Award (2022) Love advises on multi-functional leadership and innovation strategy, emphasizing interdisciplinary education through programs like Hoeft T&M. His grants include funding for 'Attentional Control and Organizational Intelligence' (2024–2026). He teaches courses on strategic innovation, organizational behavior, and entrepreneurial management, leveraging over two decades of academic and industry insights.
Jeffrey R. Brown is the Josef and Margot Lakonishok Professor of Business and Dean of the Gies College of Business at the University of Illinois at Urbana-Champaign. He also serves as Director of the National Bureau of Economic Research (NBER) Retirement Research Center and previously led the Center for Business and Public Policy. His expertise spans macroeconomics, finance, and political economy, with a focus on retirement security, public insurance markets, and policy design. Education: Brown holds a PhD in Economics from MIT (1999), an M.P.P. from Harvard (1995), and B.A. degrees in Economics and Political Science from Miami University (1990). He has held roles at the White House Council of Economic Advisers, the Social Security Advisory Board, and as a consultant to federal agencies and financial firms. Research Interests: His work examines the intersection of public and private insurance markets, particularly retirement-related topics like annuities, pensions, Social Security, and long-term care. He explores behavioral economics barriers to optimal retirement planning and the impact of tax policies on savings behavior. Publications: Brown’s recent work analyzes trends in retirement income strategies, political connections and firm value, and the effects of policy interventions on consumer decisions. His articles appear in leading journals such as the Review of Economics and Statistics and Journal of Financial Economics . Awards: He has received prestigious honors including the Paul A. Samuelson Award and Lumina Award. His leadership roles include trustee positions at TIAA and advisory roles at the Brookings Institution’s Tax Policy Center. Administration & Governance: As Dean, Brown oversees strategic initiatives and academic programs. He also chairs the TIAA Audit Committee and contributes to policy discussions through roles at the Center for Audit Quality and UI Singapore Research LLC.
Balbinder Singh Gill is an Assistant Professor of Finance and Sustainability at the School of Business, Stevens Institute of Technology. He holds a PhD in Finance from Temple University (2021). His research focuses on sustainable finance, climate finance, fintech, the political economy of finance, real estate finance, and labor dynamics in financial contexts. He has authored multiple peer-reviewed articles in leading finance journals, with a focus on disaster impacts, corporate finance, and regulatory frameworks. Education: PhD in Finance (2021), Temple University Research interests include analyzing how natural disasters influence corporate capital structures, the relationship between CEO leadership and employee compensation, and the intersection of healthcare access with mortgage interest rates. His work frequently bridges environmental, political, and financial systems to address modern economic challenges. Recent articles explore topics such as mortgage interest rate fluctuations tied to health uninsurance, retail gasoline pricing impacts, and the moderating role of CEO leadership styles in firm leverage decisions. These studies highlight Gill’s interdisciplinary approach to finance, combining environmental, political, and labor economics perspectives. Awards: 2024 Provost Award for Excellence in Undergraduate Advising and Mentoring Teaching and Learning Fellow (2023) Multiple teaching excellence commendations (2021–2023) Gill advises students across undergraduate and graduate programs, teaching courses like Sustainable Finance (FIN540) and International Business (BT360). He actively participates in institutional service roles, including membership in the Center for Research toward Advancing Financial Technologies (CRAFT) and the Finance Ph.D. Student Search Committee. Outside academia, Gill maintains a commitment to personal well-being through daily running and soccer, balancing rigorous academic work with healthy lifestyle practices.
