School of Medicine
Showing 461-480 of 1,617 Results
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Prashant Hariharan
Postdoctoral Scholar, Neurosurgery
BioPrashant Hariharan is a biomedical engineer specializing in the design of "fit-for-purpose" in vitro models to study neurological disorders. He earned his B.E. from the University of Mumbai, an M.S. from the University of Texas at Arlington, an M.Eng. from Cornell University and a PhD from Wayne State University. His doctoral work with Dr. Carolyn A. Harris focused on developing an "organ-chip" model of the choroid plexus to study how cerebrospinal fluid secretion is affected by hydrocephalus. As a postdoctoral scholar in the Fame lab, Prashant is adding new layers of physiological complexity to his previous model to investigate how the body’s circadian clock regulates choroid plexus-driven cerebrospinal fluid production and composition. This work aspires to deliver model-driven insights that can be translated into CSF-centric therapies and ultimately advance the pursuit of precision medicine for brain health.
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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, currently in press at 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.
