School of Medicine
Showing 51-100 of 172 Results
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Richard Haarburger
Postdoctoral Scholar, General Internal Medicine
BioRichard Haarburger is a postdoctoral scholar in the Department of Medicine (Primary Care and Population Health) at Stanford University, working in the lab of Pascal Geldsetzer. He studies questions at the intersection of epidemiology, health policy, and applied econometrics, with a focus on causal inference in large real-world health datasets.
His current work uses quasi-experimental and survival analysis methods to evaluate how preventive interventions (e.g. herpes zoster vaccinations) affect neurological outcomes such as dementia incidence at the population level. He also develops empirical strategies for dealing with challenges common in observational health data, including treatment effect heterogeneity, incomplete outcome follow-up, and competing risks.
Richard’s broader research interests include impact evaluation methods, causal machine learning, and the health and economic consequences of new technologies. During his PhD in quantitative economics, he worked on measurement bias in health surveys, high-dimensional forecasting, and heterogeneity in technology adoption. -
Yan He
Postdoctoral Scholar, Infectious Diseases
BioI am an air quality and environmental health researcher with experience in field monitoring, exposure assessment, and spatial analysis. My research focuses on characterizing air pollution across communities, identifying potential sources, and improving our understanding of environmental exposures.
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Florian Hoffmann, Ph.D.
Postdoctoral Scholar, Hematology
BioFlorian is a postdoctoral researcher in Dr. Ami Bhatt's laboratory at Stanford University. He earned his Ph.D. in Biochemistry working in Dr. Sam Sternberg's group at Columbia University where he studied atypical CRISPR systems in prokaryotes, in search of molecular tools for programmable gene editing and gene regulation. His studies elucidate the mechanisms of a novel RNA-guided transposition system, the evolutionary ancestors of the gene editing enzymes Cas9 and Cas12, and an unprecedented Cas12f enzyme that creates custom de novo transcription start sites without requiring promoter elements. Florian is fascinated by the vast untapped resources of novel gene functions encoded in bacteria and their viruses (bacteriophages). He is an inventor on multiple patents related to his doctoral work. During his postdoctoral work at Stanford, he aims to discover novel paradigms of bacteria-virus interactions and how these shape the human gut microbiome, and human health. To investigate these systems, he harnesses interdisciplinary approaches, combining computational gene discovery with experimental techniques in Molecular Biology, Genetics and Biochemistry.
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Belal Hossain
Postdoctoral Scholar, Immunology and Rheumatology
BioI have a strong statistical background in analyzing and developing methods with observational and pragmatic clinical trial data. I also have experience in epidemiological and public health research, focusing on infectious and communicable diseases, non-communicable diseases, adult health, and maternal & child health research. My current research interests include biostatistics and epidemiology, with a particular focus on causal inference, machine learning, causal inference with machine learning, risk prediction modelling, causal mediation analysis, and complex surveys.
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Jiaqi Hu
Postdoctoral Scholar, Cardiovascular Medicine
BioJiaqi Hu is a Postdoctoral Scholar at Stanford University, supervised by Drs. Tim Assimes and Shoa Clarke. She received her PhD in Chronic Disease Epidemiology from the Yale School of Public Health in 2026 and her Bachelor of Arts degree from Peking University in 2021. Her research focuses on identifying genetic variants underlying complex diseases, applying polygenic scores for disease risk prediction and subtype identification, and integrating genetic, environmental, and clinical data to improve individual-level risk stratification.
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Hirotaka Ieki
Postdoctoral Scholar, Cardiovascular Medicine
BioI am an MD, PhD physician-scientist aiming to advance precision medicine for cardiovascular disease through research in genomics and artificial intelligence.
MD, The University of Tokyo, Tokyo, 2013
Residency in Internal Medicine, National Center for Global Health and Medicine, Tokyo, 2013-2017
Residency in Cardiology, Sakakibara Heart Institute, Tokyo, 2015–2017
PhD, The University of Tokyo, Tokyo, 2021
Clinical Fellow in Cardiology, The University of Tokyo Hospital, Tokyo, 2021–2022
Postdoctoral Scholar, Stanford University, 2023–present
Research interest: Precision medicine in cardiovascular disease. Genomics, Artificial Intelligence -
Mathangi Janakiraman
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsI study how the gut ecosystem, gut function, and neuroimmune interactions change during aging and in diseases like Alzheimer’s. I investigate how dietary interventions, including fermented foods and ketones, modulate gut cells and physiology. My goal is to reveal mechanisms through which diet supports healthy aging and to advance dietary strategies for age‑associated diseases.
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Vishnu Priya Kanakaveti
Postdoctoral Scholar, Oncology
Current Research and Scholarly InterestsI am interested in elucidating molecular mechanisms of MYC-driven drug resistance and immune evasion in cancer using computational and experimental models.
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Andreas Kerschbaumer
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Andreas Kerschbaumer is a postdoctoral scholar in the Division of Immunology and Rheumatology at Stanford University, conducting research in the Robinson and Khatri Labs. His work integrates clinical rheumatology with computational and systems immunology, applying meta-analytic techniques on transcriptomic datasets to uncover mechanisms of autoimmunity and improve therapeutic strategies in rheumatology.
He trained in internal medicine and rheumatology at the Medical University of Vienna, Department of Medicine III, Division of Rheumatology, where he also completed his PhD under Professors Smolen and Aletaha on treatment outcomes in inflammatory arthritis, followed by his habilitation on strategies to optimize the interpretation of clinical trial data in rheumatoid and psoriatic arthritis.
Dr. Kerschbaumer has been actively engaged with the European Alliance of Associations for Rheumatology (EULAR), contributing as Fellow, Methodologist, and Co-Methodologist to multiple international taskforces, including the 2019, 2022, and 2025 rheumatoid arthritis recommendations and the 2019 and 2023 psoriatic arthritis recommendations. He is currently a member of the EULAR Quality of Care Committee and serves as Co-Abstract Chair of the ACR Rheumatoid Arthritis abstract committee. -
Qinqin Kong
Postdoctoral Scholar, General Internal Medicine
BioI am currently a Postdoctoral Scholar in the Departments of Medicine and Health Policy at Stanford University, after earning my PhD in Atmospheric Science from Purdue University. My research examines the physical drivers and societal impacts of extreme heat. My PhD work focused on how land–atmosphere interactions shape human heat stress and on the economic and energy impacts of increasing heat stress under climate change. At Stanford, my postdoctoral research focuses on the public health impacts of heat, particularly in low- and middle-income countries.
My ongoing projects include: (1) evaluating the effects of dry versus humid prenatal heat exposure on child stunting in India; and (2) developing a data-driven framework to address a longstanding question in heat-health research: how much should humidity factor into the measurement of human heat stress? My methodological expertise spans climate modeling, human biophysics modeling, and empirical causal inference. -
David Lehmann
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. David Hermann Lehmann is a Postdoctoral Researcher at Stanford University School of Medicine, where his research focuses on artificial intelligence for cardiovascular medicine. His work lies at the intersection of computer vision, machine learning, and clinical cardiology, with a focus on developing AI methods for automated cardiovascular diagnosis by integrating multimodal medical data, including cardiac magnetic resonance imaging (MRI), electrocardiograms (ECGs), and electronic health records (EHRs). He also develops medical AI agents that leverage these diverse data sources to support clinical reasoning and advance intelligent, data-driven healthcare.
His research aims to translate advances in AI into clinically meaningful applications, improving the accuracy, scalability, and accessibility of cardiovascular diagnostics. His work spans multimodal medical data analysis, deep learning for cardiac imaging, and intelligent systems for clinical decision support.
He earned his doctoral degree (Dr. rer. nat.) in computer science through research at the Engineering Mathematics Computing Lab and the Cardiology Department of Heidelberg University Hospital. His doctoral work focused on AI-based diagnosis of cardiac diseases using MRI and smartwatch ECGs. He also holds a master’s degree in computer science from Technische Universität Darmstadt and a bachelor’s degree in physics from the same university. -
Quentin Loisel
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioQuentin Loisel is a postdoctoral researcher at the Meta-Research Innovation Center at Stanford (METRICS), where his work focuses on how artificial intelligence is transforming scientific practice and how researchers can use AI to produce better, more robust, and more equitable science. His broader agenda is to help define a hybrid model of scientific inquiry that deliberately and transparently combines human judgment and artificial intelligence.
His research sits at the intersection of artificial intelligence, epistemology of science, and research systems. He studies how AI tools reshape knowledge production across the research lifecycle, from problem formulation and data analysis to writing, peer review, and governance, and examines the epistemic, methodological, and institutional consequences of human–AI collaboration in science. His work aims to move beyond risk-focused or purely technical perspectives by developing evidence-based, researcher-centric models for integrating AI into everyday scientific practice.
Before joining Stanford, he completed a Marie Skłodowska-Curie PhD on digital technologies for co-creation, combining cognitive science, collective intelligence, and participatory research. He has co-funded and is coordinating the Artificial Intelligence working group of the Marie Curie Alumni Association (MCAA), which is a researcher-driven community of practice on AI in research. He also advises a social company, called Health Cascade, on how to integrate AI in teams to solve complex societal problems. -
Yougeng Lu
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioYougeng Lu (he/him/his) is a NIH T32 Postdoctoral Scholar with the Stanford Prevention Research Center at Stanford School of Medicine. His research focuses on exploring the linkages between exposure to urban nature, such as green space and street trees, and individual's physical activity and mental health. Yougeng received his Ph.D. in Urban Planning and Development from the University of Southern California, where he developed a high spatiotemporal resolution PM2.5 prediction model with low-cost air sensors and studied how people's travel behavior affects their air pollution exposure. He holds an M.Sc. in Urban Planning from University of Washington, Seattle; and a B.Sc. in Geography from Wuhan University, China.
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Tiffany Luong
Postdoctoral Scholar, Infectious Diseases
BioTiffany Luong obtained her Ph.D. from UCSD/SDSU in the lab of Dwayne Roach where she studied the formulation, purification, and application of bacteriophages targeting the ESKAPE pathogen Pseudomonas aeruginosa. Currently, her research in the Bollyky Lab focuses on the development of preclinical models to study chronic infections of P. aeruginosa and the immunogenicity of bacteriophages to the mammalian host.
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Riley McDanal
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioI study scalable interventions, well-being among LGBTQ+ populations, and health disparities.
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Samuel Montalvo
Postdoctoral Scholar, Cardiovascular Medicine
BioAs a clinical exercise physiologist, sport scientist, and biomechanist, I study the mechanical, physiological, and molecular determinants of human performance and health. I am certified as a Performance and Sport Scientist (CPSS), Strength and Conditioning Specialist with Distinction (CSCS,*D), and Clinical Exercise Physiologist.
I am a Postdoctoral Scholar in Cardiovascular Medicine at Stanford University and a member of the Stanford Bioinformatics Core and Wu Tsai Human Performance Alliance. My training has been supported by the Wu Tsai Human Performance Alliance Postdoctoral Fellowship, the NIH T32 Research Training in Myocardial Biology at Stanford, and a two-year NIH/NHLBI Loan Repayment Program award in Research in Emerging Areas Critical to Human Health.
My research integrates clinical exercise physiology, cardiopulmonary exercise testing, biomechanics, and multi-omics to better understand how physical activity influences cardiovascular health, biological adaptation, and athletic performance. Through the NIH-funded Molecular Transducers of Physical Activity Consortium (MoTrPAC), I analyze large clinical, multi-omic, multi-tissue, multimodal, and multi-species datasets to identify mechanisms and biomarkers of exercise response.
I also collaborate on projects involving sports cardiology and electrocardiography, cardiopulmonary exercise testing, exercise and neuromuscular disease, and athlete performance, including work with Stanford Baseball and external sports-science collaborators.
I contribute to professional and institutional service as a Senior Editor for the Journal of Strength and Conditioning Research and Financial Officer of the Stanford University Postdoctoral Association (SURPAS).
Teaching and mentoring are central to my academic work. As a first-generation college graduate and Mexican American with Indigenous heritage, I am committed to creating supportive and inclusive pathways for trainees from underrepresented backgrounds. I serve as a Postdoctoral Mentoring Coach with the Stanford Office of Postdoctoral Affairs and mentor undergraduate, graduate, and medical trainees and residents through several Stanford programs and initiatives, including PRISM and the MAVERICs program within the Stanford Cardiovascular Institute.
My long-term goal is to lead an independent research program that combines exercise physiology, multi-omics, physical activity, nutrition, cardiovascular science, and sports performance while mentoring the next generation of scientists. -
Bryan Mosher
Clinical Scholar, Medicine - Cardiovascular Medicine
Postdoctoral Scholar, Cardiovascular MedicineBioBryan Mosher, MD, PhD, is a physician-scientist in Adult Congenital Heart Disease at Stanford University. His clinical and research interests focus on understanding the mechanisms that drive cardiovascular dysfunction across the lifespan, with particular emphasis on congenital heart disease, exercise physiology, myocardial remodeling, pulmonary vascular disease, and precision medicine. His research integrates advanced cardiovascular imaging, cardiopulmonary exercise testing, multimodal phenotyping, and emerging single-cell technologies to identify biologically distinct patient phenotypes and develop more individualized approaches to risk stratification and therapy.
Dr. Mosher completed his pediatric cardiology fellowship at the University of Michigan and advanced fellowship training in Adult Congenital Heart Disease at Stanford. He holds both an MD and PhD, with doctoral training in neuroscience focused on optogenetics and electrophysiology. His long-term goal is to build a translational research program that connects human phenotyping with mechanistic discovery to improve outcomes for patients with congenital and acquired cardiovascular disease.
