School of Medicine
Showing 521-540 of 1,580 Results
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Amy M Inkster
Postdoctoral Scholar, Epidemiology
BioAmy Inkster, PhD is a Postdoctoral Scholar in the Department of Epidemiology and Population Health at Stanford University. She conducts research on epigenetic alterations in pregnancy and early life to understand the molecular levers affecting healthy development. She primarily uses large 'omics datasets to study the effect of environmental exposures on pregnancy outcomes and maternal health.
Dr. Inkster received her PhD in Medical Genetics from the University of British Columbia (Vancouver, Canada), where her research focused on evaluating DNA methylation variation in prenatal life, primarily in the context of placental epigenetics, sex differences, prenatal exposures, and X-chromosome inactivation. She holds a BSc in Chemistry. As a cross-disciplinary researcher, her work and research interests lie at the intersection of molecular mechanisms and their impacts on human health and disease at the population level. -
Hiroyuki Inoue
Postdoctoral Scholar, Cardiovascular Institute
BioPhysician-scientist passionate about bridging research findings and clinical practice
- Research expertise in genome editing, gene therapy, high-throughput screening, and extracellular vesicles
- Board certified cardiologist with 10+ years clinical experience, focused on cardiovascular diseases including heart failure and arrhythmia
- Experience of 400+ cases as the primary operator in percutaneous coronary intervention, catheter ablation, and cardiac device implantation -
Iman Jaljuli
Postdoctoral Scholar, Pathology
BioPhD in Statistics,
Tel-Aviv University -
Tomin James
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioMy work involves designing and developing AI/ML-based algorithms to find answers for cutting-edge problems using multi-disciplinary data. This involves data from space-borne and ground-based instruments for astrophysics and space science studies, high-speed imaging data for behavioral neuroscience experiments, multi-omics data for finding biomarkers affecting population health, clinical data for detecting health anomalies, and EHR data for patient trajectory prediction and personalized medicine.
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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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Aleesha Jethwa
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr Jethwa is a postdoctoral fellow working in Dr Sultan's lab, within the Obstetric Anesthesiology Department. She is funded by the R90 HEAL/Pain Cohort grant. Her research focuses on the peripartum period and how targeted interventions can alter recovery trajectories.
Dr Jethwa previously worked as a resident anesthesiologist in the UK for 7 years including rotations in Internal Medicine, Obstetrics, and Pain Medicine and completed a Masters in Education at the University of Pennsylvania focused on medical education. -
Rathinaraja Jeyaraj
Postdoctoral Scholar, Pathology
BioI work at the intersection of AI, multimodal learning, and large-scale image analytics, with a strong focus on computational pathology and foundation models for healthcare. My current research interests include LLMs, VLMs, multimodal reasoning, whole-slide image analysis, retrieval-augmented generation (RAG), and trustworthy AI for medical decision support.
I develop scalable deep learning systems spanning WSI preprocessing, multiple instance learning, segmentation, survival prediction, and multimodal image-text modeling. My work also involves attention interpretability, contrastive learning, pathology foundation model adaptation, and large-scale AI pipelines. Beyond healthcare AI, I have experience in time-series forecasting, distributed computing, cloud infrastructure, and real-time computer vision systems for industrial and smart-city applications.
I am particularly interested in building reliable, interpretable, and clinically meaningful AI systems that bridge computer vision, multimodal learning, and large-scale reasoning.
