Medicine
Showing 41-60 of 162 Results
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Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection). This work revealed molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is developing deep learning models to investigate aberrant splicing in cardiovascular disease.
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Shreya Gupta
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsI am a biomedical researcher focused on understanding the molecular mechanisms governing vascular smooth muscle cell (SMC) behavior in cardiovascular and metabolic diseases. My work investigates how signaling pathways, including Notch3 and Thrombospondin-1, regulate SMC phenotypic switching, fibrous cap stability, and plaque vulnerability in atherosclerosis, with the goal of identifying novel therapeutic targets to prevent heart attacks and strokes.
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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. -
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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Elizabeth Holman
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsI currently explore the application of vibrational spectroscopic technologies for biomedical imaging and precision medicine for clinical use. My research interests are directly related to chemical imaging technology development, which include but are not limited to spectral and image processing and analysis, machine learning applications, autonomous adaptive data acquisition, and vibrational spectroscopic applications to the biomedical sciences.
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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
BioCardiologist in Japan.
Research interest: precision medicine in cardiovascular disease. Genomics, Exposomics. -
Mathangi Janakiraman
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsAs a postdoctoral scholar, I am studying the gut ecosystem, gut functionality nad neuroimmune interactions during aging and age-associated diseases like AD, and the role of fermented food in modulating gut health. I expect to be able to show that dietary modifications can help with healthy aging and to contribute to possibly leveraging dietary interventions therapeutically in 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.
