Jessica A. Wachter is the Dr. Bruce I. Jacobs Professor in Quantitative Finance at the Wharton School of the University of Pennsylvania . She is a leading scholar in asset pricing and behavioral finance, with significant contributions to understanding rare events and investor memory in financial decision-making. PhD in Business Economics and AB in Mathematics from Harvard University Editor of Review of Financial Studies Former Chief Economist and Director of DERA at SEC (2021-2025) Published in top journals: Journal of Finance , Journal of Financial Economics , Quarterly Journal of Economics Her research explores asset pricing anomalies through Bayesian learning, correlation neglect, and representativeness heuristics. Recent work examines superstitious investors, sovereign default risk, and experience-driven behavioral biases in trading decisions. Key research themes: Stochastic disaster risk modeling Experience-based investor behavior Time-varying equity premiums Dynamic asset pricing Human capital risk Memory effects in economic decisions She has served on editorial boards of major finance journals and held academic positions at Wharton (2003-present) and NYU Stern School of Business.
Sara Benjamin-Neelon is a Professor at the Johns Hopkins Bloomberg School of Public Health, with a primary appointment in the Department of Health, Behavior and Society and a joint affiliation with the Department of International Health. She is also the Director of the Lerner Center. Holding a PhD, JD, and MPH, her interdisciplinary expertise spans child nutrition, public health law, and chronic disease prevention. Educational Background: JD, Mitchell Hamline School of Law, 2017 PhD, University of North Carolina at Chapel Hill, 2006 MPH, University of North Carolina at Chapel Hill, 2002 BS, Ithaca College, 1995 Dr. Benjamin-Neelon’s research centers on early life predictors of obesity and chronic diseases, with a strong emphasis on health equity. Her work explores community-based interventions for children and families, food insecurity, policy evaluation (especially in nutrition and physical activity), epigenetic and environmental influences on child growth, and the social determinants of early life feeding, physical activity, sleep, and stress. She examines both domestic and global contexts, contributing significantly to understanding how policy changes can create healthier environments. Her extensive publication record includes over 196 research outputs, with recent articles focusing on childcare environments, breastfeeding policies, cannabis use during pregnancy, university beverage contracts, and infant feeding regulations. The trends in her recent work highlight a strong focus on policy analysis, health equity, and the evaluation of natural experiments in public health. She frequently investigates how structural and environmental factors shape child health outcomes. She has not received any explicitly mentioned scientific awards in the provided text. Dr. Benjamin-Neelon advises students and leads significant research projects, including evaluations of state nutrition and physical activity policies, the impact of childcare on obesity risk, and initiatives to improve healthy feeding in early childhood. Her work often involves collaboration with interdisciplinary teams and has significant implications for public health grants and policy development. She leads or contributes to key research initiatives such as the evaluation of South Carolina’s nutrition and physical activity policies, studies on licensing laws for infant and toddler care, and the Maryland Collaborative to reduce excessive college drinking. Her research environment is collaborative, involving multiple institutions and public health agencies.
Professor Melanie Wilke is a leading figure in cognitive neurology at the University Medical Center Göttingen, where she serves as Director of the Department of Cognitive Neurology and Head of the MR Research Unit. She is also a Co-Investigator in the 'Decision and Awareness' group at the German Primate Center. Her work bridges human and non-human primate neuroscience to investigate the neural basis of perception, awareness, and movement planning. Her research focuses on understanding how distributed neural activity supports spatial awareness and decision-making. Key areas include thalamocortical interactions, neural mechanisms of spatial neglect, and translational models of cognitive disorders. She employs multimodal methods such as fMRI, electrophysiology, brain stimulation (tACS, tDCS, TMS), and inactivation techniques in both human and monkey models. Analysis of her recent publications reveals a strong emphasis on visual consciousness, neural connectivity, and sensorimotor integration. Her work frequently explores the role of the pulvinar and parietal cortex in attention and awareness, using innovative paradigms including no-report tasks and microstimulation. There is a clear translational trajectory from basic mechanisms to clinical applications in stroke and Parkinson’s disease. Fellows Award for Excellence in Biomedical Research, National Institutes of Health, USA (2008) Prof. Wilke leads a dynamic research group and mentors students within several graduate programs, including Systems Neuroscience and the International Max Planck Research School (IMPRS). Her team conducts cutting-edge research using advanced imaging and stimulation techniques. She has secured long-term support through the Herman and Lilly Schilling Foundation Professorship (2011–2022) and continues to lead major projects in cognitive neurology and brain network dynamics. Her laboratory, embedded in the Heart & Brain Center Göttingen, fosters interdisciplinary collaboration and focuses on developing novel therapeutic interventions for cognitive deficits following brain injury. The MR Research Unit under her leadership is central to advancing non-invasive brain imaging and stimulation in both research and clinical contexts.
Mads Stenbo Nielsen is an Associate Professor in the Department of Finance at Copenhagen Business School, affiliated with the Center for Statistics. He holds a M.Sc. in Statistics from the University of Copenhagen and a Ph.D. in Finance from CBS. His research focuses on credit risk dynamics, corporate capital structure, and default correlation modeling, with publications in journals like Journal of Financial Intermediation and Journal of Financial Econometrics . His primary research areas include credit risk analysis, corporate bond markets, and the interplay between economic cycles and financial risk. Notable contributions explore systemic risk in synthetic credit markets and the value of bond underwriter relationships. He also serves as a Portfolio Manager at BankInvest since August 2019, bridging academic and practical finance roles. Teaching responsibilities include courses on Statistics, Introductory Finance, and Term Structure Theory. His work has been presented at conferences such as the Financial Management Association International and the Paris December Finance Meeting. He contributes to the Centre for Financial Frictions and maintains external roles in financial advisory and portfolio management.
Giuseppe PAGNONI is an Associate Professor at the Department of Biomedical, Metabolic and Neurosciences of Università di Modena e Reggio Emilia . His research spans neuroscience , computational modeling , meditation , and brain network analysis . He teaches courses such as Neural Systems Modeling for Bioengineering students and Human Physiology and Pathophysiology in Medicine programs, with a focus on predictive coding , default mode network , and emotional valence processing . Pagnoni has contributed to ENIGMA-Meditation , a global initiative exploring meditation's neuroscientific basis, and developed sparse Bayesian models for analyzing brain network individual differences. His work on Alzheimer's disease investigates anosognosia mechanisms through resting-state fMRI, while other studies examine ghrelin's role in obesity-related reward processing and oxytocin's effects on social anxiety . He employs dynamic causal modeling and predictive processing frameworks to study cognitive effort, mind wandering, and neuromorphic learning. His methodological expertise includes functional MRI , independent component analysis , and computational simulations .
Katja Ignatieva is an Associate Professor at the School of Risk and Actuarial Studies, UNSW Business School, University of New South Wales. She holds a co-tutelle PhD in Finance from Goethe University Frankfurt (Germany) and Macquarie University Sydney, along with an MSc in Mathematics and Statistics from Humboldt University Berlin and Glasgow University. Her research focuses on quantitative finance, stochastic processes, energy markets, and actuarial risk modeling. Key research areas include energy price dynamics, portfolio risk management, mortality modeling, and systemic risk analysis. She has published extensively in top-tier journals, addressing topics such as volatility modeling, jump-diffusion processes, and commodity market dependencies. Educational background includes: PhD in Finance (2011), Goethe University Frankfurt & Macquarie University MSc in Mathematics & Statistics (2000s), Humboldt University Berlin & Glasgow University Her work bridges theoretical finance with practical applications in risk management and insurance. She has contributed to methodologies for pricing complex financial derivatives and managing longevity risk in variable annuities.
Marco Leyton, PhD , is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and the Montreal Neurological Institute and Hospital. He serves as a Professor in the Department of Psychiatry within the Faculty of Medicine and Health Sciences at McGill University . His work focuses on understanding addictions and psychiatric disorders through biopsychosocial frameworks. Institution: RI-MUHC, Montreal Neurological Institute, McGill University Academic Rank: Professor Research Interests : Leyton investigates the neurobiological underpinnings of addiction, emphasizing dopamine and serotonin signaling, neuroimaging techniques (PET, MRI), and vulnerability traits in psychiatric disorders. His studies explore how temperament, adversity, and neurochemical pathways contribute to substance use disorders. Publication Trends : Recent work examines psychedelic drug mechanisms (psilocybin, lisuride), glutamate receptor dynamics, and policy approaches to the overdose crisis. He integrates multimodal imaging (fMRI, PET) to study cue reactivity, cognitive regulation, and developmental trajectories of mental health. Methodological Expertise : Leyton employs advanced neuroimaging, radiotracer development, and longitudinal cohort studies to map neural circuits involved in addiction vulnerability. His research bridges preclinical models with human clinical applications.
Dr. Jean-Pierre Fenech is a Senior Lecturer at Monash University's Department of Banking & Finance. His teaching focuses on credit analysis and bank lending, including courses like BFF3841: Credit Analysis and Lending Management, BFF5914: Bank Lending, and BFF5380: Credit Risk Modeling. Research Interests: He specializes in Credit Scoring, Bayesian inference, Archimedean copulas, nonparametric estimates, and Markov chains, with expertise extending to credit risk, default correlation, bank soundness, and risk management in financial systems. His work contributes to UN Sustainable Development Goals (SDGs) related to economic prosperity and responsible financial practices. Scientific Awards: A. E. Camilleri Banking Award (Central Bank of Malta, 1995) Dean's Award for Excellence in Teaching (2006, 2013) Research Trends: Recent publications analyze bankruptcy resolution mechanisms, credit derivatives' impact on systemic risk, loan recovery rates, and econometric modeling of financial risk factors. His work bridges quantitative finance, corporate credit risk, and macroeconomic stability. Supervision: He actively supervises PhD students in credit risk and financial modeling areas. His grants include projects funded by the Department of Industry, Science and Resources (Australia), Accounting & Finance Association of Australia and New Zealand, and the National Institute of Accountants.
Ana SINA serves as a Research Fellow in the Department of Economics at Ca' Foscari University of Venice, with an active academic profile accessible via her personal website . Her research concentrates on critical vulnerabilities in modern credit markets, specifically: Systemic risk propagation through leveraged loan structures Regulatory implications of covenant-lite syndications Risk dynamics in non-bank lending ecosystems Financial stability threats from loan market innovations Interconnectedness of syndicated loan networks Credit risk modeling under low-covenant frameworks Dr. Sina's forthcoming 2024 publication analyzes how covenant-lite loan syndications amplify systemic risk through reduced lender protections and correlated default exposures. This work bridges banking regulation, financial engineering, and macroprudential policy within contemporary finance literature, highlighting emerging threats to market resilience from evolving loan market architectures.
Dr. Jun Yan is a Professor in the Department of Statistics at the University of Connecticut. His research spans network analytics, spatial extremes, survival analysis, and statistical computing with applications in public health, finance, and environmental science. His core research interests include: network modeling and analysis, spatial statistics for climate extremes, survival analysis methodologies, statistical computing frameworks, and applications in interdisciplinary domains including sports analytics. Dr. Yan has developed significant statistical methodologies for network analysis, climate change detection, financial modeling, and health analytics. His recent publications demonstrate innovation in modeling complex network structures, analyzing climate extremes, developing computational approaches for massive datasets, and creating specialized statistical methods for health and finance applications. He maintains active collaborations across disciplines and contributes to open-source statistical software. Honors include: Guggenheim Fellowship, multiple Fromm Foundation commissions, and Barlow Endowment recognition.
Christoph Memmel is a Research Professor at the Deutsche Bundesbank's Directorate General Financial Stability. His research focuses on interbank contagion, market price risk of banks, and the behavior of bank management. He holds a Ph.D. in economics and has extensive experience in financial stability analysis and banking sector risk assessment. Memmel leads the Bundesbank's research on interest rate risk exposure, bank risk management strategies, and systemic risk dynamics. His work integrates quantitative methods with regulatory analysis to inform central bank policies. Key research areas include: Interest rate risk and liquidity management in banking Interbank market stability and contagion mechanisms Impact of low interest rate environments on bank behavior Regulatory frameworks for banking risk exposure Memmel's recent publications analyze how banks forecast risk exposures, manage net interest margins, and adapt to monetary policy shifts. His findings highlight the importance of hedging strategies and regulatory thresholds in mitigating systemic risk. He collaborates with international institutions on stress testing and macroprudential policy design.
Wendy Heller is a Professor of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the Cognitive Neuroscience Group at the Beckman Institute (part-time), Gender and Women's Studies, Biomedical and Translational Sciences, and the Institute for Sustainability, Energy, and Environment. She previously served as Director of Clinical Training and Department Head in the Psychology Department, and as Provost Fellow for diversity initiatives. B.A. in Spanish and Psychology with Honors, University of Pennsylvania M.A. and Ph.D. in Biopsychology, University of Chicago Her research focuses on neural mechanisms of emotion-cognition interactions in psychopathology, particularly anxiety and depression. Using fMRI, EEG, and ERP methods, she investigates brain lateralization, network connectivity, and top-down emotional regulation. A pioneer in inclusive science , she integrates equity considerations into psychology research frameworks. The 2010-2025 publications demonstrate sustained contributions to anxiety/depression neuroscience , with recurring themes in executive dysfunction , emotion regulation , neural plasticity , and transdiagnostic models . Her work bridges clinical psychology and cognitive neuroscience through methodological innovations in machine learning applications to neuroimaging. Scientific recognition includes: Larine Y. Cowan Make a Difference Award (2010) Arnold O. Beckman Research Award (2013) Executive Officer Distinguished Leadership Award (2019) PRESIDENT’S EXECUTIVE LEADERSHIP PROGRAM (2019-20) LAS Impact Award (2021) As director of the Cognitive & Affective Neuroscience of Psychopathology (CANOPY) Lab , she leads research on brain mechanisms in mental health, funded by NIMH and NIDA. Her team employs multi-modal approaches combining behavioral tasks, neuroimaging, and clinical assessments.
Dr. Nikolaos Voukelatos is a Senior Lecturer in Finance and Director of the MSc Finance Suite at the University of Kent's Kent Business School. He holds a PhD in Finance from Lancaster University (2009). His academic responsibilities include teaching modules such as Quantitative Methods, Fixed Income Markets, and Research Methods, alongside extensive PhD supervision. Research Focus Dr. Voukelatos's research explores the intersection of option markets, empirical finance, and predictive modeling. Core themes include: Extracting predictive signals from option-implied data Hedge fund strategy distinctiveness and performance Cross-sectional asset pricing anomalies Market microstructure dynamics in derivatives Publication Trends His scholarly output demonstrates consistent focus on option markets, volatility modeling, and hedge fund performance. Recent works (2022-2025) emphasize predictive analytics using options data and MIDAS econometrics, while earlier contributions (2010-2016) established foundations in market microstructure and behavioral aspects of derivatives trading. Student Advising Actively supervises doctoral candidates researching: Decomposition of option-implied information (Xiaohang Sun) Volatility forecasting applications (Eirini Bersimi) Industry default correlations (Alexander Lancaster) Policy uncertainty impacts (Andromachi Papachristopoulou, graduated)
Dr. Jessica Damoiseaux is an Associate Professor at Wayne State University, affiliated with the Institute of Gerontology and Department of Psychology. She directs the Ben L. Silberstein Institute for Brain Health and investigates cognitive and brain health changes in aging and neurodegenerative disease. PhD in Cognitive Neuroscience (2008), VU University Medical Center M.Sc. in Psychology (2003), Utrecht University Her research focuses on identifying risk factors for neurodegenerative disease, leveraging MRI to study brain networks, white matter integrity, and structural volumetrics. She explores blood-based biomarkers, genetics, and lifestyle interventions (yoga, exercise) to mitigate cognitive decline. Recent publications (2024–2006) span neuroimaging, aging, Alzheimer's disease, and functional connectivity. Themes include subjective cognitive decline, brain network plasticity, biomarkers, prenatal influences, and multimodal data integration. Collaborations include Dr. Neha Gothe’s exercise trials and interdisciplinary brain network standardization efforts.
Charan Ranganath is a Professor in the Department of Psychology at the University of California, Davis, and director of the Dynamic Memory Lab. He is affiliated with the UC Davis Center for Neuroscience and the Center for Mind and Brain, focusing on human memory and executive control using neuroimaging, electrophysiology, and behavioral methods. His research explores the neural basis of memory, including roles of the prefrontal cortex, medial temporal lobes, and hippocampus in working and long-term memory. Education: Ph.D., Clinical Psychology, Northwestern University M.S., Clinical Psychology, Northwestern University B.A., Psychology, University of California, Berkeley Ranganath’s research spans hippocampal-cortical interactions, curiosity-driven memory enhancement, schizophrenia-related memory deficits, and computational models of memory systems. His work reveals overlapping prefrontal and medial temporal lobe activity in memory tasks and investigates how stress, aging, and neuromodulation affect memory dynamics. His research trends emphasize episodic memory , relational memory , neural oscillations , cortico-hippocampal networks , curiosity-driven learning , and clinical applications in mental illness. Scientific Awards: Guggenheim Fellowship Leverhulme Trust Visiting Professorship Laird Cermak Award Samuel Sutton Award Chancellor’s Fellow award Young Investigator Award (Cognitive Neuroscience Society) National Security Science and Engineering Faculty Fellowship (2015) He has secured grants from the Department of Defense, National Institute of Mental Health, and private foundations. His lab collaborates with Andy Yonelinas on recognition memory and with others on field potentials in hippocampal studies. He teaches Human Learning, Cognitive Neuroimaging, and Current Research in Psychology.
