School of Medicine
Showing 461-480 of 1,614 Results
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Anthony Harris
Postdoctoral Scholar, Genetics
BioAnthony Harris is a postdoctoral fellow in the Department of Genetics at Stanford School of Medicine, where he investigates the organization and function of the genome during cellular development. His research focuses on uncovering fundamental principles of chromosome structure, cellular differentiation, and genome stability. By combining experimental molecular biology, computational modeling, and third generation sequencing technologies, Dr. Harris aims to elucidate the mechanisms that shape chromatin architecture and direct genome maintenance. His interdisciplinary approach integrates cutting-edge quantitative analysis with traditional molecular techniques to advance understanding of the relationship between cellular organization and disease.
Dr. Harris has developed computational tools for genomic data analysis and applies data-driven strategies to study chromatin structure and gene regulation. His work has been published in leading journals, including EMBO Journal, Genetics, and Developmental Cell, with projects spanning meiosis regulation, transcriptional control, and genome integrity. These experiences reflect his commitment to understanding how chromatin organization and gene expression guide cell fate and function.
Dr. Harris earned his Bachelor of Science in Biochemistry from the University of Minnesota and his Ph.D. in Molecular and Cellular Biology from the University of California, Berkeley. He brings expertise in data analysis, computational biology, scientific writing, and collaborative research. His broad training spans biochemistry, cell biology, microbiology, genetics, and computational genomics. -
Elaheh Hashemi
Postdoctoral Scholar, Pathology
BioI am a postdoctoral researcher specializing in computational biology, bioinformatics, and multi-omics data analysis. My research focuses on integrating single-cell, spatial transcriptomic, and clinical datasets to better understand cellular heterogeneity and disease biology. I am passionate about using computational approaches to uncover biological mechanisms and translate complex datasets into insights that can ultimately improve human health. Outside of research, I enjoy hiking, mountaineering, camping, and playing the piano.
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Hoda Hashemi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioHoda S. Hashemi is a postdoctoral scholar at the Ultrasound Imaging & Instrumentation Lab at Stanford University. She received her PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2023. She was also an ultrasound research intern in research and innovation team at DarkVision Technologies Inc. from 2021 to 2023. She holds a M.A.Sc. from Concordia University and a B.Sc. from Sharif University of Technology. Her research interests are ultrasound molecular imaging, elastography and AI in medical image processing. Her research has been funded by the NIH T32 Fellowship at Stanford, the Canadian NSERC Postdoctoral Fellowship, and the Ultrasound Imaging & Instrumentation Lab at Stanford University.
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John Lyon Havlik
Postdoctoral Medical Fellow, Psychiatry
Resident in Psychiatry and Behavioral SciencesBioHello! I'm the inaugural Humanities and Social Medicine research track resident at Stanford University.
Psychiatric and substance use disorders are usually caught only after substantial, sometimes irreparable, harm has already occurred. My work is about changing that: I build artificial intelligence models that identify people earlier, and I evaluate whether the systems that receive them, like health plans, treatment facilities, and now generative AI chatbots, are equipped to respond appropriately. I believe this kind of early intervention will one day be commonplace and prevent a great deal of human suffering.
On the building side, I'm technical lead and first author on a supervised model that detects substance use disorders from EHR-like data, published in Nature Mental Health; related work uses multimodal data to flag who will go on to develop opioid use disorder and to predict imminent psychiatric emergency-department visits. I also co-authored a Nature Medicine paper on how to rigorously test the true capabilities of medical AI. I work across a wide range of deterministic and probabilistic methods, including the transformer architectures behind modern "chatbots." My work has been featured in 40+ peer-reviewed publications and featured in national news outlets.
In production, spinout AI-enabled clinical workflow automation software I developed is in use at the U.S. Department of Veterans Affairs and here at Stanford. The aim of my work is to move advances in artificial intelligence out of publications and into the clinic.
On the evaluating side, I serve as an expert reviewer of AI-in-medicine trials for the State of Utah's Office of Artificial Intelligence Policy, and I am a sought-after health-tech advisor for Silicon Valley's leading venture capital firms and companies. I write on psychiatric services and health policy, recently in JAMA Health Forum on private-equity residential treatment and JAMA Network Open on the economics of telemedicine "house calls". Alongside my research, I founded and lead Research Roundtable, a mentorship group whose undergraduates have published 10+ first-author papers. Before medicine, with Peggy Mason at UChicago, I found the human bystander effect in rats (Science Advances). -
Adam He
Postdoctoral Scholar, Genetics
BioI am a computational biologist/bioinformatician. My primary research interests lie in using machine learning models to decipher how gene regulation is encoded in our genomes. I’ve also worked on variant effect and complex disease risk prediction.
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Siyu He
Postdoctoral Scholar, Biomedical Data Sciences
BioI am a postdoctoral fellow in the Department of Biomedical Data Science at Stanford University, where I am advised by Dr. James Zou and Dr. Stephen Quake.
My research interests lie at the intersection of statistical machine learning, computational biology, stem cell engineering, and disease modeling. My mission is to leverage AI methodologies in biomedicine to accelerate our understanding of diseases. I earned my PhD in Biomedical Engineering from Columbia University, where I am co-advised by Dr. Kam Leong and Dr. Elham Azizi. I hold a Bachelor's degree in Physics from Xi'an Jiaotong University. -
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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Chris Heitzig
Postdoctoral Scholar, Epidemiology
BioChris Heitzig is a New Map of Life Postdoctoral Fellow in the Department of Epidemiology and Population Health. An economist by training, his research develops models to examine healthy aging across the life course, with a particular emphasis on identifying causal pathways and key points of policy intervention to improve well-being in later life. A central focus of his work is the socioeconomic impact of undiagnosed metabolic disorders—how these conditions manifest, the costs of leaving them untreated, and the potential for interventions to improve detection and outcomes. His research combines insights from economics and public health with machine learning methods for causal inference.
Before joining Stanford, Chris served in research roles at the Brookings Institution and the World Bank. At Brookings, he managed a $1.5 million research grant investigating how technological change is reshaping employment in Africa. At the World Bank, he designed randomized controlled trials to measure the causal effects of health and employment programs and served in an operational role as the day-to-day lead for a $20 million job transition program. Chris holds a PhD in Economics from the Institute of Development Studies, an MPhil in Economics from the University of Oxford, and a BA in Economics from Saint John’s University.
