جست‌وجوی استاد و پژوهشگر

Dawson Kidgellمشاهده پروفایل

دانشیار

• Neurophysiology of Exercise
• Neuroplasticity
• Transcranial Magnetic Stimulation (TMS)
• +۱۲ مورد دیگر

Dawson Kidgell is an Associate Professor in the Department of Physiotherapy at Monash University, Faculty of Medicine. He is an active researcher and PhD supervisor with a strong focus on the neurophysiology of exercise, particularly neuroplasticity and motor cortex responses to strength training and non-invasive brain stimulation techniques such as Transcranial Magnetic Stimulation (TMS) and transcranial direct current stimulation (tDCS). His research interests include understanding how the nervous system adapts to exercise, rehabilitation, and neuromodulation. He employs advanced electrophysiological methods—TMS, tDCS, EMG, and spinal reflex testing—to explore corticospinal excitability, intracortical inhibition, and motor learning. His work has significant implications for sports science, rehabilitation of neuromuscular injuries, and aging populations. Recent publications (2020–2024) highlight a strong trend in systematic reviews and meta-analyses on tDCS, corticospinal responses to training, and clinical applications in tendinopathy, concussion, and aging. His research frequently investigates bilateral transfer, cross-education of strength, and the neural mechanisms underlying rehabilitation interventions. Scientific Awards: University of Jyväskylä Visiting Fellow grant (2023) Research Funding and Supervision: Associate Professor Kidgell has secured over $2.5 million in research funding. He has successfully supervised 11 PhD students to completion and currently mentors 5 additional PhD candidates. His research projects include NHMRC-funded studies on neurophysiological markers of balance and equipment grants for advanced neurostimulation tools. Laboratories and Research Teams: His work is conducted within neurophysiology and exercise neuroscience labs at Monash, often in collaboration with interdisciplinary teams focusing on motor control, rehabilitation, and sports medicine.

• Psychometrics
• Healthcare Technology
• Item Response Theory
• +۷ مورد دیگر

Dr. Maria Bolsinova is an Assistant Professor at Tilburg University's Department of Methodology and Statistics within the Tilburg School of Social and Behavioral Sciences. Her work focuses on psychometrics, healthcare technology, and methodological advancements in educational and clinical assessments. She holds a PhD and has contributed to over 40 research outputs since 2013. Research interests include experience sampling, patient-friendly measurement designs, differential item functioning, and extreme response style correction. Her projects often involve collaborations with organizations like the OECD and Amplify Education Inc., focusing on adaptive learning systems and PISA studies. She developed a personalized missingness design to reduce patient burden in longitudinal studies, currently being implemented in the m-Path app. Consulting roles: Curriculum Associates, LLC (2024–2024); OECD (2023–present); Amplify Education Inc. (2023) Contributions to UN Sustainable Development Goals through methodological advancements in healthcare and education Dataset: 'Assessing Life Satisfaction in Everyday Life' (2023)

Zhenke Wuمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Precision Medicine
• Latent Variable Models
• +۵ مورد دیگر

Zhenke Wu is an Associate Professor (with tenure) in the Department of Biostatistics at the University of Michigan School of Public Health. He holds affiliate appointments at the Michigan Institute for Data and AI in Society (MIDAS) and leads the Michigan Statistics for Individualized-healthcare Lab (MiSIL). His research bridges statistical methodology and public health applications, with particular focus on precision medicine. Educational background includes: PhD in Biostatistics from Johns Hopkins University (2014) BS in Mathematics from Fudan University (2009) Dr. Wu's methodological research focuses on: Structured Bayesian latent variable models for disease subtyping and clustering Causal inference methods for sequential interventions in mobile health studies Reinforcement learning frameworks for personalized health interventions Scalable computation for high-dimensional biomedical data His applied work spans infectious diseases, mental health, autoimmune disorders, and cancer through collaborations with multiple research consortia including the Intern Health Study and UZIMA-DS project in Africa. Recent publications demonstrate strong focus on Bayesian methods, causal inference, and reinforcement learning applications in digital health. Article themes include mobile health interventions, synthetic EHR development, fair machine learning algorithms, and novel approaches for longitudinal and survival data analysis. Methodological innovations consistently address challenges in precision medicine and individualized health decision-making. Dr. Wu leads several collaborative initiatives including the Precision Health Use Case for mental health treatment (PROMPT) and partners with the Rogel Cancer Center. He advises multiple PhD students and postdoctoral researchers in statistical methodology development and health applications.

Arnoldo Frigessiمشاهده پروفایل

استاد

• Statistics
• Biostatistics
• Machine Learning
• +۵ مورد دیگر

Arnoldo Frigessi is Professor of Statistics at the University of Oslo, where he leads the Oslo Center for Biostatistics and Epidemiology and serves as director of BigInsight—a Centre of Excellence for Research-Based Innovation. This consortium unites industry, business, public actors, and academia to develop model-based machine learning methodologies for big data, with strong emphasis on health applications. His research centers on statistical methodology driven by real-world scientific challenges, specializing in stochastic models for complex dependence structures and computationally intensive inference algorithms. Core application domains include: Genomics and personalized cancer therapy (particularly breast and lung cancer) Infectious disease modeling (including pandemic response) eHealth, sensor data analysis, and recommender systems Personalized marketing and viral diffusion dynamics Analysis of his 15 most recent publications (2024-2025) reveals dominant themes in cancer systems biology , where he integrates multi-omics, single-cell transcriptomics, and computational modeling to decode tumor evolution under therapy. Parallel work advances infectious disease epidemiology through time-varying reproduction number estimation and mobility-based transmission modeling, while methodological innovations span synthetic data generation (TVineSynth), causal inference via target trial emulation, and Bayesian ranking models for recommender systems. Scientific Awards: No specific awards mentioned in source materials Frigessi actively supervises graduate students, including a Department of Informatics project on "Utilizing covariate information in recommender systems." His leadership of BigInsight—funded as a Research-Based Innovation Centre by the Research Council of Norway—secures major grants supporting interdisciplinary collaborations with industrial partners (e.g., Telenor, DNB) and public health institutions. Current projects integrate real-world clinical data with mechanistic models for treatment optimization. He directs BigInsight's multidisciplinary team of statisticians, computer scientists, and domain experts, while leading the Oslo Center for Biostatistics and Epidemiology's efforts in developing statistical frameworks for complex health data. These initiatives drive Norway's national strategy for data-driven health innovation.

• Gender Inequality
• Family Dynamics
• Domestic Work
• +۷ مورد دیگر

Marta Dominguez-Folgueras is an Associate Professor of Sociology at Sciences Po, affiliated with the Centre for Research on Social Inequalities (CRIS) and a member of the Gender Studies Programme Steering Committee. Her research focuses on gender inequality, family dynamics, and domestic work, with empirical studies centered on Spain and France. Her research interests include the sociology of family, gender ideologies, parental leave policies, and the motherhood penalty. She investigates how economic crises, public policies, and cultural norms shape the division of domestic labor and affect gender equality within households. She contributes to Trans Parent, a European research program studying gendered divisions of domestic duties among couples. Her recent publications show a consistent focus on gendered labor divisions, motherhood, and policy impacts, particularly in Southern Europe. Her work combines qualitative and quantitative methods, often analyzing longitudinal data or conducting narrative interviews. She has published in journals such as Social Politics , Journal of Family Issues , and Demographic Research , addressing topics like breastfeeding, cohabitation, and the effects of the pandemic on unpaid work. Resisting Intensive Motherhood? Women's Accounts on Infant Feeding in Spain (2025) Gender Ideologies in Spain: A Latent Class Approach (2025) The Motherhood Penalty in Spain (2022) Division of unpaid work during the pandemic in France (2022) Marta Dominguez-Folgueras has supervised PhD students including Ida Gaede and Clara Le Gallic-Ach, whose theses explore migrant mothers and gender violence reporting in France. She teaches undergraduate courses such as Introduction to Sociology and Sociology of Family at Sciences Po. She has received research funding through projects like Trans Parent and has contributed to policy reports for DREES. She is affiliated with the Centre for Research on Social Inequalities (CRIS) at Sciences Po, a leading interdisciplinary research center focused on social stratification, inequality, and policy. Her work bridges academic research and social policy, particularly in the areas of gender and family.

Heather Urryمشاهده پروفایل

استاد

• Emotion Regulation
• Affective Neuroscience
• Psychophysiology
• +۲ مورد دیگر

Heather L. Urry is a Professor of Psychology at Tufts University's School of Arts and Sciences. She earned her PhD in Clinical Psychology from the University of Arizona (2001) and completed postdoctoral training in affective neuroscience at the University of Wisconsin-Madison. Since 2005, she has directed the Emotion, Brain, & Behavior Laboratory (EBBL), focusing on how people experience, express, and regulate emotions using behavioral and psychophysiological methods. Her research examines emotion regulation dynamics, stress impacts on cognitive-motor performance, and individual differences in affective processing. Recent work explores time pressure effects on behavior, cognitive reappraisal efficacy, and large-scale replications in psychological science. She champions open science practices, including data sharing and study preregistration. Recent publications (2021-2025) demonstrate a strong focus on stress, emotion regulation techniques, and methodological rigor. Major themes include: cognitive reappraisal applications in exercise/stress contexts; anxiety reduction interventions; sociopolitical perceptions of discrimination; and pandemic-related mental health messaging. Cross-cultural collaborations feature prominently in her global health studies. Awards include the Outstanding Faculty Contribution to Graduate Education (2019). Grant support includes NIH funding for therapy dog intervention mechanisms and U.S. Army contracts for applied cognitive science (2017-2029). At Tufts, she teaches 30+ psychology courses including Doctoral Dissertation supervision and research methodology. As EBBL director, she oversees investigations into stress responses and emotion regulation, mentoring students in experimental protocols involving physiological measures.

Matt Koslovskyمشاهده پروفایل

استادیار

• Bayesian modeling
• Variable selection
• Graphical models
• +۱۰ مورد دیگر

Matt Koslovsky is an Assistant Professor of Statistics at Colorado State University. He completed his PhD in Biostatistics at The University of Texas Health Science Center School of Public Health (UTHealth) in 2016 and served as a Post-Doctoral Research Associate at Rice University's Marina Vannucci lab from 2018-2020. Prior to joining CSU in 2020, he worked as a statistical consultant at Johnson Space Center's Biostatistics Lab. PhD, Biostatistics (2016), UTHealth School of Public Health Post-Doctoral Research Associate (2018-2020), Rice University Assistant Professor (2020-Present), Colorado State University His research spans Bayesian methodology and its applications across diverse domains: Theory: Bayesian modeling, variable selection, graphical models, nonparametric Bayes Applications: Cancer prevention, mental health, microbiome analysis, space health, ecological momentary assessment Recent publications demonstrate methodological advancements in: Bayesian variable selection for rare variants Integrated population modeling Compositional data analysis Continuous-time hidden Markov models mHealth data processing Microbiome mediation effects Current advisees include: Hyungjoon Kim (PhD candidate) Brody Erlandson (PhD candidate) Suppapat Korsurat (PhD candidate)

• Human Resource Management
• HR Process Approach
• Employee Perceptions of HR
• +۵ مورد دیگر

Professor Karin Sanders serves as Associate Dean (Research) at the UNSW Business School, where she is affiliated with the School of Management and Governance. With over two decades of academic experience, she has established herself as a leading scholar in Human Resource Management, particularly focusing on the HR process approach and employee perceptions of HR practices. Her research has been published in top-tier journals including HRM (Wiley), Academy of Management Learning & Education, Human Resource Management Journal, and International Journal of HRM. Professor Sanders' research primarily centers on the HR process approach, examining how employees' perceptions, understanding, and attributions of HR practices influence their attitudes and behaviors. Her work explores critical areas such as informal learning activities, cooperative behavior, commitment, knowledge sharing, team learning, and absenteeism. She has made significant contributions to understanding the effects of alignment between line managers and HR managers on organizational climate, defined as shared perceptions of the organization among employees within a team. Her methodological approach often employs multi-actor, multi-level, and multi-method research designs, reflecting the complexity of HR phenomena in organizational contexts. As an influential academic leader, Professor Sanders serves as Editor for Special Issues at the International Journal of HRM and Associate Editor for Human Resource Management and Frontiers of Business Research in China. She sits on the Editorial Boards of six HRM and management journals. Previously serving as Head of School for Management between 2015 and 2019, she was also a member of the Executive Committee of the HR Division Academy of Management from 2013 to 2018. Her recent work has increasingly focused on HRM during crises, including the development of HR analytics and responses to the pandemic. Professor Sanders has secured substantial research funding, including an Australian Research Council Linkage Project on capacity building in the Not-For-Profit sector and multiple industry collaborations. She has edited several books, including the "Handbook on HR Process Research" (2021) with Huadong Yang and Charmi Patel. Her scholarly contributions bridge theoretical rigor with practical relevance, influencing both academic discourse and HR practice worldwide.

Teresa Fortمشاهده پروفایل

دانشیار

• International Trade
• Industrial Organization
• Political Economy
• +۴ مورد دیگر

Teresa Fort is an Associate Professor at the Tuck School of Business at Dartmouth College , focusing on international trade, industrial organization, and political economy. She teaches core microeconomics and seminars on firm globalization, while maintaining affiliations as a Faculty Research Fellow at the National Bureau of Economic Research (NBER) and a Research Affiliate at the Centre for Economic Policy Research (CEPR). Her work bridges economic theory with empirical analysis using U.S. Census Bureau data. PhD , University of Maryland (2012) MA , University of Maryland (2008) BA , University of Virginia (2000) Her research explores global production fragmentation , technology's impact on offshoring , and globalization's heterogeneous effects . Key findings include: technology's disproportionate role in domestic production reorganization, the rise of factoryless goods producers redefining manufacturing statistics, and evidence on how trade policies create interdependent sourcing dynamics . Recent publications in Review of Economic Studies and Journal of Political Economy Macroeconomics examine tariff escalation welfare effects and multinational firm trade patterns . Her work has been featured in major media outlets including Financial Times , The Wall Street Journal , and Marketplace . NBER Faculty Research Fellow CEPR Research Affiliate Coauthor of influential studies on global value chains She actively participates in academic conferences, recently discussing topics like multinational firm strategies and labor mobility during recessions . Her empirical methods often involve novel data infrastructure projects, including redesigning the U.S. Census Bureau's Longitudinal Business Database and County Business Patterns imputation techniques.

Stephen Jenkinsمشاهده پروفایل

استاد

• Income Inequality
• Poverty Dynamics
• Labour Market Economics
• +۷ مورد دیگر

Professor Stephen Jenkins is a leading expert in Economic and Social Policy at the London School of Economics and Political Science (LSE) since 2011, with a focus on inequality , poverty dynamics , and applied econometrics . He has held leadership roles including Head of the Department of Social Policy (2016-2019, 2023-2024) and coordinates the Global Inequalities Observatory at LSE’s International Inequalities Institute. Education: BSc in Economics, University of Otago (1974-1977) PhD in Economics, University of York (1983) His research interests span: Analysis of income distribution, redistribution via taxation and social security Income mobility and poverty dynamics Measurement errors in survey and administrative data Survival analysis and limited dependent variable models Recent research trends emphasize: Top-income inequality using tax and survey data Labour market volatility and income risk Policy impacts on inequality and poverty Statistical methods for income distribution analysis Scientific awards and honors : Presidency of three major global associations: IARIW (2006-08), ECINEQ (2021-23), ESPE (1998) Distinguished Fellow of the New Zealand Association of Economists (2019) Research Fellow at IZA, Bonn (since 2000) Editorial leadership roles: Journal of Economic Inequality (2014-17), The Stata Journal (current) Advising and grants : Supervises doctoral research in inequality, poverty, and econometrics Contributed to high-impact policy reports for UK DWP, OECD, and New Zealand Treasury REF2021 Impact Case Study: Better measurement of income inequality Member of scientific advisory boards for IAB, WIFO, and Motu Labs and teams : Coordinator of the Global Inequalities Observatory at LSE Key member of LSE’s Department of Social Policy and International Inequalities Institute Collaborates with institutions including IZA, Motu, and IAB

Antonio Dello Iaconoمشاهده پروفایل

دانشیار

• Sports Science
• Strength and Conditioning
• Exercise Physiology
• +۵ مورد دیگر

Antonio Dello Iacono is an Associate Professor (Reader) in Strength and Conditioning at the University of the West of Scotland's Division of Sport, Exercise, and Health within the School of Health and Life Sciences. With 20 years of combined experience in elite sport practice, teaching, and research, his work focuses on elite performance conditioning, training load monitoring, and technology integration in sports. He leads the Sports Performance Interest Group, coordinating industry-collaborative applied research projects. His research aims to develop personalized exercise prescription models to enhance individualized training outcomes, reduce overtraining risks, and improve health outcomes. Education & Positions Scientific Associate at University of Split (since 2017) Research Focus His primary research goals involve transitioning from rigid exercise protocols to personalized approaches tailored to individual abilities and stressors. Key areas include autoregulation methods in resistance training and interdisciplinary research integration. He contributes to UN Sustainable Development Goals related to health and well-being. Collaborations & Activities Peer reviewer for Frontiers in Physiology (2022) Invited speaker at ECSS conferences (2018–2021) Media engagements include discussions on mental training's physical benefits and collaborative partnerships Lab/Teams Leads the Sports Performance Interest Group, fostering applied research with industry partners.

• Pediatric Critical Care Medicine
• Quality Improvement in Healthcare
• Sepsis Management
• +۴ مورد دیگر

Sarah Kandil, MD, is an Associate Professor of Pediatrics (Critical Care) at Yale School of Medicine and a pediatric intensivist at Yale New Haven Children’s Hospital (YNHCH). She specializes in pediatric critical care medicine, sedation services, and quality improvement initiatives. Dr. Kandil holds leadership roles as Deputy Quality and Safety Officer at YNHCH and has spearheaded collaborative projects to improve outcomes in pediatric sepsis, reduce CLABSI rates, and optimize antibiotic timing in critically ill children. Education: MD from McGill University (2004), residency at Baystate Children’s Hospital (2008), fellowship at Yale SOM (2011). Her research focuses on systematic methods for quality improvement, sepsis care protocols, and metabolic changes during critical illness. Notable contributions include the Transport Risk Assessment in Pediatrics (TRAP) score for transport triage and studies on glucose control in PICU patients. Key Awards: 2011 Travel Award (Eastern Society of Pediatric Research), 2010 Best Research Abstract (AAP Transport Medicine Section). Leads the IPSO Collaborative to reduce pediatric sepsis mortality. Developed the CLABSI Rapid Response Team to proactively address infection risks. Published extensively on pediatric sepsis, antibiotic timing, and quality improvement strategies. Labs/Teams: Active in the Pediatric Critical Care Transport Program and the Quality and Safety Division at YNHCH.

Bjørge Hermann Hansenمشاهده پروفایل

پژوهشگر ارشد

• Physical Activity Epidemiology
• Measurement of Physical Activity
• Accelerometry
• +۳ مورد دیگر

Bjørge Hermann Hansen is a postdoctoral researcher at the Department of Sport Medicine, Norwegian School of Sport Sciences (NIH), actively engaged in national physical activity surveillance and the International Children's Accelerometer Database (ICAD). His work bridges epidemiology, statistics, and device-based measurement to investigate activity patterns across diverse populations including children, cancer survivors, and clinical cohorts like Duchenne Muscular Dystrophy patients. Previously referenced in 2020-2023 materials as a University of Agder professor, NIH's December 2023 employee page confirms his current research role at Norway's premier sport science institution. Hansen's research focuses on physical activity epidemiology and measurement validity, specializing in accelerometer data analysis. He investigates intensity distribution, sedentary behavior, and their health associations across lifespan stages. His methodological expertise includes harmonizing multi-cohort data, validating self-report tools against objective measures, and developing protocols for reliable activity monitoring. Current projects address environmental determinants like family car ownership and school policies on screen time. Recent publications reveal a dominant trend: large-scale meta-analyses using pooled international data (ICAD) to establish dose-response relationships between activity patterns and mortality. He also examines secular trends in Norwegian youth activity, methodological challenges in measurement, and the impact of clinical conditions on movement behaviors. Key journals include The Lancet, British Journal of Sports Medicine, and PLOS ONE. Scientific awards: None explicitly mentioned in source materials. Hansen teaches Statistics, Epidemiology, and Scientific Methods at NIH, translating complex concepts through podcasts like Fysioformidlingen. While no specific grants or student advising records are provided, his leadership in national surveillance projects (e.g., Kan3 reports for Folkehelseinstituttet) indicates active grant-funded research. He advocates for evidence-based policies such as school mobile phone bans to increase recess activity. He collaborates with the ICAD consortium and Norwegian Institute of Public Health on population monitoring. His work with the Kan3 project involves nationwide data collection on adult physical activity and fitness. Recent Folkehelseinstituttet reports (2023-2024) demonstrate his role in national health surveillance systems.

Kara M. Whitakerمشاهده پروفایل

دانشیار

• Physical activity epidemiology
• Sedentary behavior epidemiology
• Sleep epidemiology
• +۵ مورد دیگر

Kara M. Whitaker serves as Associate Professor and Director of Graduate Studies in the Department of Health and Human Physiology within the College of Liberal Arts and Sciences at the University of Iowa. Her research focuses on modifiable lifestyle behaviors including sedentary behavior, physical activity, and sleep patterns across diverse populations. Her primary research interests include physical activity epidemiology , sedentary behavior epidemiology , sleep epidemiology , maternal and child health , cardiovascular disease , and health disparities , with particular emphasis on at-risk groups including pregnant/postpartum women, rural populations, and marginalized communities. The Physical Activity and Women's Health Lab (PAWH) under her direction investigates determinants and health effects of lifestyle behaviors to inform behavioral interventions. Dr. Whitaker's recent work demonstrates strong trends in pregnancy epidemiology (Pregnancy 24/7 cohort), postpartum cardiovascular health , and health equity applications . Her publications increasingly integrate objective activity monitoring with clinical outcomes, focusing on sedentary behavior reduction strategies and cardiovascular risk assessment in vulnerable populations. Mid-Career Faculty Scholar Award (2025) NIH-NHLBI R01 grant for Offspring Study (2023) American Heart Association special issue guest editor (2024) She mentors multiple doctoral students and postdoctoral researchers including Lisa VanWiel, Jackie Dziewior, and Jacob Gallagher. Her lab has secured significant NIH funding including diversity supplements for the Pregnancy 24/7 Offspring Study. Current research initiatives include the Pregnancy 24/7 cohort examining 24-hour activity patterns, the Postpartum 24/7 study, and the Offspring Study tracking cardiovascular outcomes in children.

• Neurostimulation technologies
• Neuropsychiatric disorders
• Sleep and epilepsy relationship
• +۷ مورد دیگر

Joline Fan, MD, MS is an Assistant Professor at the University of California, San Francisco (UCSF) in the Departments of Neurology (Division of Epilepsy) and Psychiatry & Behavioral Sciences. She is affiliated with the UCSF Weill Institute for Neurosciences, where she conducts cutting-edge research at the intersection of neurology, psychiatry, and neurotechnology. Dr. Fan completed her education at prestigious institutions: B.S.E. in Chemical and Biological Engineering from Princeton University, M.S. in Bioengineering from Stanford University, and M.D. from UCSF. She furthered her training with a Neurology Residency and Epilepsy Fellowship at UCSF, establishing her expertise in clinical neurology and epilepsy management. Her research program focuses on developing innovative neurostimulation technologies for neuropsychiatric disorders and exploring the complex relationship between sleep and epilepsy through multimodal neuroimaging. As an epileptologist, Dr. Fan specializes in invasive recording methods including intracranial responsive neurostimulation and stimulation mapping. She is pioneering personalized, non-invasive, low-intensity focused ultrasound methods for treating conditions like depression and epilepsy, bridging engineering approaches with clinical neuroscience. Analysis of Dr. Fan's recent publications reveals a strong focus on intracranial neurophysiology, brain network mapping, and closed-loop neuromodulation systems. Her work integrates multiple disciplines including neurology, psychiatry, neuroengineering, and data science to develop personalized treatments for treatment-resistant depression, obsessive-compulsive disorder, and epilepsy. The research demonstrates increasing translational impact with growing clinical applications of neuromodulation technologies. Dr. Fan has received significant recognition for her work: American Epilepsy Society (AES) 2022 Young Investigator Award University of California San Francisco 2024 Chen Scholar Award Dr. Fan actively mentors residents, fellows, and UCSF students on research projects. Her research is supported by multiple significant grants including a Brain & Behavior Research Foundation NARSAD Young Investigator Grant for 'Mapping Corticolimbic Circuitry of Arousal Using Intracranial Electrophysiology' (2023-2025), an NIH/NINDS K23 award for 'Network dynamics of sleep-wake states in epilepsy' (2023-2027), and previously a Doris Duke Charitable Foundation Physician Scientist Fellowship (2021-2023). Working within the UCSF Weill Institute for Neurosciences, Dr. Fan collaborates with multidisciplinary teams across neurology, psychiatry, neurosurgery, and engineering to advance understanding of brain circuitry and develop novel neuromodulation approaches for complex neuropsychiatric conditions.