Find Academic Supervisors

• Nutrition and Chronic Disease
• Cancer Epidemiology
• Obesity and Physical Activity
• +3 more

Dagfinn Aune serves as a Research Fellow at the Department of Epidemiology and Biostatistics within the School of Public Health, Faculty of Medicine at Imperial College London. He concurrently holds positions as Associate Professor at Oslo New University College and Senior Researcher at the Cancer Registry of Norway in Oslo. His work centers on large-scale epidemiological investigations into diet, obesity, and chronic disease mechanisms across international populations. Education: PhD in Epidemiology, Norwegian University of Science and Technology (2016) MSc in Nutrition, University of Oslo (2008) Research interests focus on the interplay between dietary patterns, adiposity, physical activity, and smoking with chronic disease outcomes. His work examines how these factors influence cancer risk (particularly breast, gastrointestinal, and hematological malignancies), pregnancy complications, diabetes progression, and mortality across diverse populations. He employs systematic review methodologies and analyzes data from major cohorts including EPIC and Norwegian registries. Publication trends reveal consistent emphasis on obesity-cancer relationships, with recent work (2023-2025) expanding into metabolomic mediators, cardiometabolic interactions, and rare cancer epidemiology. His research frequently utilizes systematic reviews, meta-analyses, and multinational cohort studies to establish evidence for cancer prevention guidelines. Scientific Awards: No awards specified in source materials Advising and grant activity centers on major collaborative projects including the World Cancer Research Fund's Continuous Update Project, the EPIC study, and South American case-control research. While specific student mentorship isn't documented, his leadership in systematic review protocols suggests substantial training responsibilities. His grant portfolio includes funding from WCRF International and Norwegian research councils for large-scale epidemiological analyses. Labs and teams include the Centre for Translational Nutrition and Food Research at Imperial College London, where he collaborates with nutrition scientists and biostatisticians. He maintains active roles in the EPIC consortium and WCRF International's CUP Global Programme, coordinating multinational analyses of diet-cancer relationships through the Cancer Registry of Norway.

Peninah MurageView profile

Assistant Professor

• Environmental Epidemiology
• Climate Change
• Health Geography
• +5 more

Dr Peninah Murage is an Assistant Professor at the London School of Hygiene & Tropical Medicine in the Department of Public Health, Environments and Society under the Faculty of Public Health and Policy. She specializes in environmental epidemiology with a PhD in Health Geography and focuses on health impacts of environmental changes, particularly climate change mitigation and adaptation strategies. Affiliation: Centre on Climate Change and Planetary Health Her research explores climate change effects on health outcomes like heat-related mortality, cardiovascular diseases, and cognitive development in children. She integrates GIS/spatial analysis with public health and policy frameworks to identify nature-based solutions for sustainable development. Current work examines systemic inequalities in heat risk exposure and interventions such as tree-based strategies in low-income settings. Key grants include: Health Protection Research Unit on Climate Change and Health Security (2025-2030, NIHR) Climate Change and Non-Communicable Diseases in Senegal (2024-2027) Pathfinder 2: Accelerating Climate Action for Health (2023-2026) She actively contributes to the Lancet Pathfinder Commission and serves on the Executive Committee of the International Society of Environmental Epidemiology (African Chapter).

• Decision Making
• Team Cognition
• Team Effectiveness
• +3 more

Shanique Brown serves as Assistant Professor of Management at the Zicklin School of Business, City University of New York (CUNY), where she investigates cognitive processes impacting organizational team dynamics and decision-making. Her research bridges industrial-organizational psychology with practical applications in extreme environments. Her academic foundation includes: Ph.D. in Industrial-Organizational Psychology from DePaul University M.A. in Industrial-Organizational Psychology from Southern Illinois University, Edwardsville B.Sc. in Psychology from the University of the West Indies Dr. Brown's research centers on decision-making mechanisms and team cognition within organizational contexts, with specialized focus on extreme environments like space missions. She examines how cognitive styles, working memory, and team composition influence performance in isolated, confined, and high-stakes settings. Her work integrates psychological theory with actionable frameworks for optimizing team effectiveness across virtual and physical workspaces. Analysis of her publication history reveals evolving expertise in team science, particularly regarding virtual team leadership, polycultural organizations, and NASA-relevant analog research. Recent work emphasizes selection-optimization-compensation models for team performance and psychosocial factors in extreme environments, demonstrating consistent contribution to organizational psychology literature. Her scientific recognition includes: Editorial Fellowship from Group Dynamics (2022) Wayne State University Faculty Accessibility Fellowship (2022) Teaching Innovation Development Excellence Award (2020) Faculty Teaching Award (2020) University Research Grant (2019) Robert A. Daugherty Memorial Award (2011) Dr. Brown actively collaborates on NASA-funded research through the Human Research Program, developing crew composition models for long-duration space missions. She serves on Baruch College's PhD Admissions and Interdisciplinary Business Major committees while maintaining leadership roles in the Society of Industrial-Organizational Psychology, including Task Force Chair and Conference Committee positions. Her grant work focuses on translating team dynamics research into operational frameworks for extreme environments. She leads interdisciplinary collaborations with NASA researchers and international scholars on projects including virtual escape room studies for team performance assessment and CREWS (Crew Recommender for Effective Work in Space) development, demonstrating commitment to solving real-world team challenges in high-consequence settings.

• Gynecologic Oncology
• Ovarian Cancer
• Breast Cancer
• +5 more

Federica Tomao is an Associate Professor at the Department of Maternal, Child and Urological Sciences within Sapienza University of Rome. She actively teaches and supervises courses in Medicine and Surgery , Nursing , and Midwifery programs across multiple institutions. Current faculty member with academic rank Teaching roles in 6th, 3rd, and 2nd year courses Specialized in gynecologic oncology Research Focus : Her work spans ovarian cancer, breast cancer, and endometrial cancer, emphasizing chemotherapy optimization, precision medicine, and radiomics. Notably, she contributes to understanding PARP inhibitors, immune checkpoint therapies, and fertility preservation techniques in cancer survivors. Recent Publications highlight advancements in sarcopenia analysis, BRCA testing, and radiogenomic nomograms. These studies demonstrate her commitment to bridging imaging and molecular data for improved cancer management. Email : federica.tomao@uniroma1.it

Colleen ConleyView profile

Clinical Professor

• Developmental Psychology
• Clinical Psychology
• Mental Health Interventions
• +5 more

Colleen Conley is a Clinical Professor in the Department of Psychology at Loyola University Chicago, specializing in clinical psychology with a focus on adolescent and emerging adult mental health. She directs the IMPACT (Improving Mental-health and Promoting Adjustment through Critical Transitions) Lab, which conducts research on psychological well-being during developmental transition periods. Dr. Conley earned her Ph.D. from the University of Illinois at Urbana-Champaign and her B.A. from Lawrence University. Her research program blends observational studies, meta-analyses, and intervention development to improve well-being, particularly during critical life transitions like the college years. Her work examines psychological trajectories in adolescence and emerging adulthood, with special attention to gender issues and LGBTQIA+ well-being. Her research interests center on developmental psychopathology, examining the interplay between individuals and their contexts over time. She investigates how biological, psychological, cognitive, and social factors interact to influence psychological distress and well-being. Much of her work focuses on college student mental health, including trajectories of well-being during the transition to college and interventions to address mental health challenges. Analysis of her recent publications reveals a strong focus on college student mental health, with emphasis on developmental trajectories, intervention effectiveness (particularly peer-led and technology-delivered approaches), and the impact of transition periods on psychological functioning. Her work increasingly incorporates digital interventions and examines moderators of intervention effectiveness across diverse student populations. Research Mentoring Award Program recognition for mentoring award-winning students Heckler Summer Research Fellowship recognition for mentoring fellowship recipients Dr. Conley mentors numerous graduate students in the clinical psychology program, with many completing dissertations on topics related to mental health interventions, student well-being, and developmental transitions. Her IMPACT Lab collaborates with university staff, administrators, and other researchers to develop practical interventions that address student mental health needs. Current projects include Honest, Open, Proud (HOP) for stigma reduction, Wellness Advising with Motivational Interviewing (WAMI), Students Taking on Effective Post-Graduate Skills (STEPS), and Supportive Accountability Methods for Mentoring Young Adults (SAMMY-A). The lab also partners with commercial entities like Headspace for mindfulness research.

Deborah FoxView profile

Associate Professor

• Midwifery
• Maternal Health
• Technology in Healthcare
• +7 more

Deborah Fox is Associate Professor in Midwifery at the University of Technology Sydney (UTS), Faculty of Health, and a core member of the Centre for Midwifery, Child and Family Health. She serves as Co-lead of the Maridulu Budyari Gumal SPHERE Maternal and Women's Clinical Theme and Chair of the National Publicly Funded Homebirth Consortium. In 2024, she received the Faculty of Health Dean's Academic Excellence Award for Research (Mid Career Researcher), following her 2021 award as Highest Performing Early Career Researcher from the School of Nursing and Midwifery. Her research focuses on optimizing physiological processes and positive experiences for women with complex pregnancies, with particular emphasis on the mediation of technology in midwifery practice. Current projects include evaluation of non-invasive fetal ECG beltless and wireless fetal monitoring in labor and birth, and examining the social, economic and environmental impacts of telemonitoring and telehealth in pregnancy and postpartum care. Dr. Fox's scholarly work demonstrates consistent focus on technology's role in maternity care, women's experiences of monitoring during labor, and innovative approaches to midwifery practice. Her recent publications show increasing emphasis on digital health solutions, AI applications in women's health, and pandemic impacts on maternal care systems globally. Faculty of Health Dean's Academic Excellence Award for Research (Mid Career Researcher) 2024 Highest Performing Early Career Researcher award from School of Nursing and Midwifery 2021 Editorial Board Member, Women and Birth journal Dr. Fox is actively involved in higher degree research supervision and has developed innovative teaching resources, including an Objective Structured Clinical Examination for perinatal mental healthcare. She is scheduled to spend three months as a Visiting Scholar at the University of Oxford in 2025.

• Ethical Implications of Artificial Intelligence
• Societal Implications of Artificial Intelligence
• Policy Implications of Artificial Intelligence
• +4 more

Hoda Heidari is the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at Carnegie Mellon University (CMU), with joint appointments in the Machine Learning Department and the Institute for Software, Systems, and Society. She is affiliated with the Human-Computer Interaction Institute and the Heinz College of Information Systems and Public Policy, and co-leads the university-wide Responsible AI Initiative and K&L Gates Initiative for Ethics and Computational Technologies. Education: PhD in Computer and Information Science (University of Pennsylvania), MSc in Statistics (Wharton School) Her research focuses on the Ethical, Societal, and Policy Implications of AI , particularly fairness and accountability in high-stakes domains. Her work includes evaluating risks/benefits of general-purpose AI, human-AI decision-making systems, and AI governance frameworks. She has received multiple awards, including best paper honors at AIES, FAccT, and SAT-ML. Her research is supported by the NSF Program on Fairness in AI, PwC, CyLab, Meta, and J. P. Morgan. Recent Publications examine generative AI safety, fairness measurement, AI incident documentation, and ethical governance. Her teaching includes courses on Responsible AI, ML Ethics, and Societal Decision-Making, with a focus on preparing students to critically analyze AI's societal impact. Scientific Awards: Best Paper (AIES 2024, FAccT 2021, SAT-ML 2023), Exemplary Track Award (EC 2021) Grants: NSF, PwC, CyLab, Meta, J. P. Morgan She advises doctoral students and postdocs across CMU departments and collaborates with interdisciplinary teams. Her service includes organizing AI safety workshops and advising on NIST guidelines for AI red-teaming.

Karin Allor PfeifferView profile

Professor

• Physical Activity Measurement
• Childhood Obesity Prevention
• Exercise Physiology
• +3 more

Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.

Benjamin AroldView profile

Assistant Professor

• Labor Economics
• Education Economics
• Public Economics
• +7 more

Benjamin Arold is a University Assistant Professor at the Faculty of Economics, University of Cambridge. His academic career spans theoretical and applied research in labor economics, education economics, and AI-driven policy analysis. Previously, he held postdoctoral positions at ETH Zurich and visiting roles at Harvard University and Princeton University. Education: Ph.D. in Economics, LMU Munich His research bridges economic theory with empirical applications, focusing on: Long-term impacts of school curricula on student outcomes AI and NLP applications in labor economics Economics of religion and its societal implications Recent Article Trends: His work highlights intersections between education policy and technological innovation, including meta-analyses of private schooling effects, charter school performance evaluations, and computational methods for analyzing educational interventions. Scientific Awards: Prize for Best Dissertation (2021/2022) - German Economic Association Fürther Ludwig Erhard Prize (2023) Teaching: He teaches advanced courses on NLP in economics at Princeton University and Basel University, with a focus on computational methods for non-standard data.

John P.A. IoannidisView profile

Professor

• Meta-research
• Evidence-based Medicine
• Research Reproducibility
• +12 more

John P.A. Ioannidis is the C.F. Rehnborg Professor in Disease Prevention and Professor of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics at Stanford University. He is Co-Director of the Meta-Research Innovation Center at Stanford (METRICS) and an Einstein BIH Visiting Fellow at Charité - Universitätsmedizin Berlin. His academic appointments span multiple departments and institutes at Stanford, including the Stanford Prevention Research Center, Biomedical Data Science, and Statistics. He is internationally recognized for his work in meta-research, evidence-based medicine, and research reproducibility. Ioannidis holds an MD and DSc in Biopathology from the National University of Athens, with training in internal medicine and infectious diseases from Harvard and Tufts. He previously chaired the Department of Hygiene and Epidemiology at the University of Ioannina Medical School and held adjunct positions at Harvard, Tufts, and Imperial College. He joined Stanford in 2010, where he launched the PhD program in Epidemiology & Clinical Research, the MS in Community Health & Prevention Research, and METRICS in 2014. His research focuses on improving research methods, appraising biases, enhancing reproducibility, and integrating evidence across scientific disciplines. He is a pioneer in meta-research, with seminal contributions on the reliability of published findings, statistical practices, and research synthesis. His influential 2005 paper, "Why Most Published Research Findings Are False," is the most-accessed article in PLoS history. His recent work examines peer review, data sharing, AI in medicine, and pandemic research impact, consistently advocating for transparency and methodological rigor. His publications span epidemiology, statistics, genomics, clinical trials, and meta-analysis, with a strong emphasis on bias detection, replication, and open science. Trends in his recent articles highlight concerns about research integrity, citation practices, peer review reform, and the scientific response to global health crises. Founders' Medal for Lifetime Contributions to Meta-science (2024) Honorary doctorates from McMaster, Thessaloniki, Edinburgh, Tilburg, Athens, and Rotterdam Elected member, US National Academy of Medicine (2018) Elected member, European Academy of Sciences and Arts (2015) President, Association of American Physicians (2023–2024) President, Society for Research Synthesis Methodology Gordon Award, NIH (2019) Chanchlani Global Health Award (2017) Highly Cited Researcher (Clarivate) in Clinical Medicine, Social Sciences, and Psychiatry Ioannidis has advised numerous students and mentored early-career researchers. He has served as Senior Advisor for Knowledge Integration at the National Cancer Institute (2012–2016) and Editor-in-Chief of the European Journal of Clinical Investigation (2010–2019). He has received over 700 invited lectures and is deeply involved in shaping research policy and scientific infrastructure. He leads METRICS, a hub for meta-research innovation, and is affiliated with multiple Stanford institutes, including Bio-X, the Cardiovascular Institute, and the Stanford Cancer Institute.

Marina von KeyserlingkView profile

Professor

• Animal Welfare Science
• Dairy Cattle Welfare
• Farm Animal Behavior
• +3 more

Marina von Keyserlingk is a Professor in Applied Biology within the Faculty of Land and Food Systems at the University of British Columbia (UBC). She serves as Director of the UBC Dairy Education and Research Centre and leads the renowned UBC Animal Welfare Program, one of the largest and most respected animal welfare science programs globally. Her work has significantly influenced dairy farming practices worldwide, particularly in the areas of dairy cow and calf welfare. Dr. von Keyserlingk's research focuses on animal behavior, housing, and management practices and how these contribute to the health and welfare of dairy cattle. Her work spans multiple dimensions of animal welfare science, including: Dairy cattle behavior and cognition Cow-calf separation practices Pain assessment and management in farm animals Public perceptions of farm animal welfare Alternative dairy farming systems Welfare assessment methodologies Her most recent research examines pain responses in calves, lameness assessment techniques, effects of environmental enrichment on calf cognition, and public attitudes toward dairy farming practices. This work demonstrates a strong trend toward integrating scientific assessment of animal welfare with public values and perceptions, recognizing that sustainable animal agriculture must address both scientific and societal concerns. Dr. von Keyserlingk has received numerous prestigious awards for her contributions to dairy science and animal welfare: Elanco Award for Excellence in Dairy Science (2013) Metacam Bovine Welfare Award (2013) Canadian Animal Industries Award in Extension & Public Service (2012) 26th Annual World Buiatrics Congress Keynote Speaker (2010) She has supervised numerous graduate students, including Dr. Lexis Ly who recently completed her PhD in 2025. Dr. von Keyserlingk also teaches undergraduate courses including "Animals and Society" and "Research Methods in Applied Animal Biology." Her research program has secured significant funding that supports multiple postdoctoral fellows, graduate students, and research staff working within the UBC Animal Welfare Program. The UBC Animal Welfare Program, which she helps lead, is currently recruiting PhD students interested in improving the lives of dairy cattle and the people who care for them. The program continues to be at the forefront of animal welfare science, conducting research that has practical applications for improving animal care worldwide.

Tim Q. DuongView profile

Professor

• Medical Imaging
• MRI
• Image Analysis
• +9 more

Tim Q. Duong, Ph.D., is a Professor at Albert Einstein College of Medicine, affiliated with the Departments of Radiology, Biochemistry, Ophthalmology & Visual Sciences, and Neuroscience. His research focuses on medical imaging, MRI, image analysis, machine learning, and predictive modeling for studying diseases like COVID-19 , neurodegeneration (Alzheimer's, multiple sclerosis), brain injuries , and breast cancer . Develops AI-driven MRI techniques for early disease detection Investigates neuroplasticity in glaucoma and diabetic retinopathy Leads grants from NIH and National Eye Institute Research Trends : Recent publications emphasize AI integration in medical imaging, long-term effects of SARS-CoV-2, and advanced MRI applications for ocular and neurological disorders. Grants include multiple R01 awards for diabetic retinopathy and glaucoma studies. Training Opportunities : Actively recruits postdocs, research coordinators, and faculty. Offers research positions for graduate, medical, and high school students, including Regeneron Scholar programs. Labs & Teams : Leads the Duong Lab at Montefiore Medical Center, focusing on translational research for clinical imaging solutions.

• Biomarkers
• Stroke Research
• Proteomics
• +7 more

Dr. Shubham Misra is a Research Fellow in the Department of Neurology at Yale University School of Medicine. He holds a Ph.D. in Neurology from the All India Institute of Medical Sciences (2022) and advanced degrees in Biotechnology from Amity University (2014). His research focuses on biomarker discovery, proteomics, and clinical data analysis in neurological disorders, particularly stroke and post-stroke epilepsy. Dr. Misra has authored over 50 peer-reviewed publications, including work in JAMA Neurology and Neurology , and leads research on omics-based approaches in stroke at Frontiers in Neurology. He collaborates globally, including with the WHO's Brain Health Unit to address neurological aspects of pandemics like COVID-19. Research Interests: Biomarker discovery using proteomics and machine learning, outcomes research in stroke, genetic risk factors for neurological disorders, and systematic reviews/meta-analyses. Dr. Misra's work bridges clinical neurology with advanced data science, aiming to improve diagnostics and patient outcomes. Awards: Young Investigator Award (World Stroke Organization), DST-INSPIRE Fellowship (India), and multiple international travel grants for collaborative research. Grants & Collaborations: Leads the International Post-stroke Epilepsy Research Repository (IPSERR) and collaborates with institutions worldwide. His work on post-stroke epilepsy and stroke subtyping biomarkers has been widely cited (over 1,200 citations). Labs & Teams: Mishra Lab at Yale, Rangaraju Lab, and global networks through the WHO's Global Forum and IPSERR consortium.

Aria FallahView profile

Assistant Professor

• Evidence-Based Surgery
• Clinical Trials
• Pediatric Epilepsy Surgery
• +7 more

Dr. Aria Fallah, MD, is an Assistant Professor in Neurosurgery at the University of California, Los Angeles (UCLA), with secondary appointments in Health Policy and Management. His research focuses on Evidence-Based Surgery , Clinical Trials , and Meta-Analyses for pediatric epilepsy surgery outcomes, including prognostic tools and comparative effectiveness studies . He actively participates in international collaborations like the CTSI and has published extensively in journals such as Epilepsia , Neurology , and Clinical Neurophysiology . University: University of California, Los Angeles Department: Neurosurgery Email: afallah@mednet.ucla.edu Dr. Fallah’s research integrates machine learning and deep learning to analyze high-frequency oscillations in epilepsy, aiming to refine diagnostic and therapeutic strategies. His recent work includes developing tools like PyHFO for oscillation detection and HOPS calculator for predicting seizure freedom after hemispherectomy. His publications highlight collaborations across institutions in pediatric epilepsy surgery , hemimegalencephaly , and thalamic neuromodulation . While no explicit awards or student advisement are listed, his contributions span clinical trials , neuroimmunology , and global neurosurgery initiatives , including work in Haiti.

Simon FraserView profile

Professor

• Healthcare
• Public Health
• Kidney Disease
• +3 more

Professor Simon Fraser is a public health physician and academic at the University of Southampton , specializing in kidney disease and multimorbidity. His work integrates epidemiology, health literacy, and inequality analysis to address chronic disease burdens. Educational Background: BM (University of Southampton, 1992) MSc in Public Health DM (Doctor of Medicine, 2014) Research Focus: Fraser's research spans kidney disease , multimorbidity , treatment burden , and health inequalities . Recent projects include the NURTuRE-CKD HRQoL Study and MELD-B , examining determinants of chronic disease progression and intervention design. Academic Contributions: His publications from 2024-2025 emphasize electronic health records for multimorbidity analysis, neonatal risk factors for adult comorbidity, and deprescribing strategies for older adults. Collaborations include NIHR Applied Research Collaboration Wessex and Kidney Research UK. Scientific Recognition: Fellow of the Faculty of Public Health (FFPH) Member of the Royal College of General Practitioners (MRCGP) Fellow of the Higher Education Academy (FHEA) Mentorship: Current PhD students include Emilia Mary Holland and Keegan Guan Ru Lee . He co-leads projects with leading researchers in public health and nephrology.