Stanford University
Showing 51-100 of 161 Results
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Ryunosuke (Ryan) Goto
Ph.D. Student in Biomedical Data Science, admitted Autumn 2024
BioRyunosuke (Ryan) Goto is a PhD student in Biomedical Data Science and a Knight-Hennessy Scholar. Prior to Stanford, Ryan was a Chief Resident in Pediatrics at Nagano Children's Hospital and the University of Tokyo Hospital. He is working with Prof. Robert Tibshirani and Prof. Jonathan K. Pritchard to develop and apply statistical tools to investigate gene regulatory networks in human traits. Ryan’s work has been published in The Lancet, JAMA Pediatrics, and Pediatrics, among other journals.
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François Grolleau
Postdoctoral Scholar, Biomedical Informatics
BioFrançois Grolleau MD, MPH, PhD is a Postdoctoral Scholar at the Stanford Center for Biomedical Informatics Research. His research work centers on developing and evaluating computational systems that use large language models and other advanced methods from statistics and machine learning to assist medical decision-making.
François is a certified Anesthesiologist and Critical Care Medicine specialist from France. He holds an MPH degree and a PhD in Biostatistics from Paris Cité University. In 2016/2017, he worked as a research fellow in the Department of Health Research Methods, Evidence, and Impact at McMaster University, Canada (Profs Yannick Le Manach and Gordon Guyatt). During his doctorate with Prof. Raphaël Porcher, he utilized causal inference, personalized medicine methods, and statistical reinforcement learning for medical applications in the ICU. -
Dina Hany
Postdoctoral Scholar, Biomedical Data Sciences
BioI am currently a postdoctoral researcher in the laboratory of Prof. Sylvia Plevritis, Department of Biomedical Data Sciences. My current work involves establishing drug testing platforms to evaluate tumor drug responses with respect to the tumor microenvironment and the its spatial organization. I hold a Ph.D. in Life Sciences (Pharmaceutical Sciences) from the University of Geneva, Switzerland, where I conducted research in Prof. Didier Picard's laboratory from 2017 to 2022. Prior to that, I earned a Master’s degree in Pharmacology and Experimental Therapeutics from Alexandria University, Egypt, and a Bachelor’s degree in Pharmacy with honors from Pharos University. My professional experience includes postdoctoral research in molecular pharmacology at UNIGE and a lecturer position in Pharmacotherapeutics and Cancer Biology at Pharos University. I have extensive teaching experience, supervising undergraduate and postgraduate courses, and have successfully guided master's thesis projects. My research has focused on endocrine resistance in breast cancer, utilizing CRISPR/Cas9 screens and exploring drug combinations, resulting in several relevant publications. I have presented my work at numerous conferences and received several awards, including the Ernst et Lucie Schmidheiny Fondation grant and the Ph.D. Booster prize from the faculty of medicine, Geneva, Switzerland. I am an active member of the Life Sciences Switzerland (LS2) and the European Association of Cancer Research (EACR).
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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. -
Jason Hilton
Senior Research Engineer, Biomedical Data Science
Current Role at StanfordPI & Director, Lattice
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Asef Islam
Masters Student in Biomedical Data Science, admitted Winter 2023
Current Research and Scholarly InterestsAI in medicine and other fields, particularly ML and CV techniques
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Dr Mohit Kaushal MD
Adjunct Professor, Biomedical Data Science
BioDr. Mohit Kaushal is an accomplished entrepreneur, investor, and physician with a distinguished career spanning clinical medicine, academia, public policy and industry. He has served as an investor and board member for numerous public and private transformative companies, including Oak Street Health (NYSE: OSH, acquired by CVS Health, NYSE: CVS), Humedica (acquired by Optum, NYSE: UNH), RxAnte (acquired by Millennium), Change Healthcare (acquired by Emdeon), Universal American (NYSE: UAM, acquired by WellCare, NYSE: WCG), goBalto (acquired by Oracle, NYSE: ORCL), CitiusTech (acquired by Baring), Wellframe (acquired by HealthEdge), and George Clinical (acquired by Hillhouse).
During the Obama administration, Dr. Kaushal served on the White House Health IT Task Force, contributing to the implementation of the Affordable Care Act’s technology initiatives and testifying before Congress on the role of technology and payment reform in Medicare. He also established and led the first dedicated healthcare team at the Federal Communications Commission, where his work included partnering with the FDA to streamline regulation of converged telecommunications, analytics, and medical devices, ultimately resulting in the FDA’s mobile medical applications guidance. His team also restructured the Rural Healthcare Fund into the Healthcare Connect Fund, aligning its resources with broader healthcare technology and payment reforms.
In academia, Dr. Kaushal is an Adjunct Professor in the Department of Biomedical Data Science at Stanford University, which integrates AI, biomedical informatics, biostatistics and computer science to advance precision health. His teaching emphasizes the application of data—ranging from molecular and tissue-level information to imaging, EHR, biosensors, and population health—to improve medical outcomes.
He remains active in public policy as a Scholar in Residence at the Duke-Margolis Center for Health Policy and was previously a Visiting Scholar at the Brookings Institution. His policy work includes previous appointments to the FDASIA Workgroup of the Health IT Policy Committee and the National Committee on Vital and Health Statistics, advising HHS on data access and use.
Dr. Kaushal is an emergency physician by training, holds an MBA from Stanford University, and earned his MD with distinction from Imperial College London. -
Clarissa Klein
Scientific Data Curator 2, Biomedical Data Science
BioScientific curator and coordinator for the Clinical Genome Resource (ClinGen) and the Pharmacogenomics Knowledgebase (PharmGKB) / ClinPGx. Program Manager for Stanford ClinGen.
Coordinator for ClinGen's Data Access, Protection, and Confidentiality (DAPC) Working Group, the Rheumatologic and Autoimmune Diseases Clinical Domain Working Group (RAD-CDWG), Multigenic Taskforce, HLA Working Group, and the Pharmacogenomics Working Group (PGxWG). Coordinator for PharmGKB's submission for FDA recognition of their clinical annotation database, and curator with a focus on PharmGKB Pediatric. -
Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
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Sheng Liu
Postdoctoral Scholar, Biomedical Data Sciences
BioSheng Liu is a postdoctoral fellow at Stanford University. In May 2023, He received a Ph.D. degree from New York University, majoring in Data Science and Machine Learning. His background is in the area of robust and trustworthy machine learning, machine learning for healthcare.
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Matthew Lungren
Adjunct Professor, Biomedical Data Science
BioDr. Matthew Lungren is a physician-scientist and AI leader whose work has helped shape modern multimodal healthcare AI from early research through large-scale deployment. He joined Stanford University in 2014 as clinical research faculty, where he led a fully dedicated pediatric interventional radiology clinical service and established an NIH- and industry-supported clinical AI research program that helped catalyze what became the Stanford Center for AI in Medicine & Imaging. He remains an Adjunct Professor of Biomedical Data Science at Stanford and also holds a part-time clinical appointment at UCSF.
Dr. Lungren has authored more than 200 peer-reviewed publications with more than 35,000 citations, and he has taught more than 100,000 learners through AI-in-healthcare courses across platforms including Coursera and LinkedIn Learning. His broader contributions include advancing multimodal imaging-plus-EHR approaches, open-sourcing AI-ready medical imaging datasets and models, and serving in national leadership roles across the radiology AI community. After a sabbatical in 2021, he transitioned from academia to industry and joined Microsoft, where he served in senior leadership roles including Chief Scientific Officer for Microsoft Health & Life Sciences. At Microsoft, he founded and led cross-company teams that shipped multimodal healthcare foundation models and agentic, auditable generative AI workflows into production, including healthcare agent orchestration capabilities and major EHR partnerships, and led the health and life sciences partnerships with OpenAI.
Dr. Lungren is also a top rated instructor leading AI in Healthcare courses designed especially for learners with non-technical backgrounds:
Stanford/Coursera: https://www.coursera.org/learn/fundamental-machine-learning-healthcare
LinkedIn Learning: https://www.linkedin.com/learning/an-introduction-to-how-generative-ai-will-transform-healthcare -
Daniel Mas Montserrat
Affiliate, Biomedical Data Science
BioDaniel Mas Montserrat holds a PhD in Electrical and Computer Engineering from Purdue University. Previously he graduated summa cum laude from the Polytechnic University of Catalonia in Audiovisual Systems in Telecommunications Engineering. Currently, he is a research fellow at the Stanford School of Medicine (Department of Biomedical Data Science). His research focuses on applying computational methods to problems in population genetics and biomedicine.
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Liam Edward Mulhall
Software Developer, Biomedical Data Science
Current Role at StanfordLiam develops and maintains the HLA Curation Interface, a tool that supports the assessment of HLA alleles and haplotypes for use in precision medicine and research. He also works on internal tools used by the Stanford ClinGen team.
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Fateme (Fatima) Nateghi
Postdoctoral Scholar, Biomedical Informatics
BioAs a postdoc researcher at the Division of Computational Medicine, I find myself at the exciting intersection of machine learning and healthcare. My journey began with a PhD in Biomedical Sciences from KU Leuven in Belgium, where I explored the complexities of machine learning algorithms and their transformative potential in clinical settings. My research focused on adapting these algorithms for time-to-event data, a method used to predict when specific events may occur in a patient’s future.
At Stanford, my work centers on building trustworthy AI systems to enhance healthcare delivery. I develop and evaluate machine learning models that integrate structured electronic health records (EHRs) and unstructured clinical notes to support real-world clinical decision-making. My recent projects include predicting treatment retention in opioid use disorder, improving antibiotic stewardship for urinary tract infections, and enabling digital consultations through large language models (LLMs). I'm particularly interested in embedding-based retrieval and retrieval-augmented generation (RAG) methods that help bridge cutting-edge AI research with clinical practice.
My role involves not just advancing the integration of machine learning in healthcare but also collaborating with a diverse team of clinicians, data scientists, and engineers. Together, we're striving to unravel complex healthcare challenges and ultimately improve patient outcomes. -
Jeff Nirschl
Affiliate, Biomedical Data Science
BioJeff Nirschl, M.D., Ph.D. is an Instructor in Pathology at Stanford University, Stanford, CA with clinical expertise in Neuropathology. He completed his Ph.D. in Neuroscience at the University of Pennsylvania under the supervision of Dr. Erika Holzbaur. During his thesis research, he investigated axonal transport and genetic forms of parkinsonism. He also developed computational image analysis workflows for fluorescence microscopy and digital pathology. His research interests include molecular motors and the neuronal cytoskeleton, the regulation of axonal transport in neurodegeneration, digital pathology, and quantitative image analysis using machine learning.
https://orcid.org/0000-0001-6857-341X -
Humaira Noor
Postdoctoral Scholar, Biomedical Informatics
BioDr. Humaira Noor is a postdoctoral researcher in the Gevaert Lab with a PhD in glioma genomics from University of New South Wales, Australia. Her expertise spans biomarker discovery, with particular emphasis on prognostic and molecular determinants of glioma treatment-response, radiogenomic model development for early high-risk patient stratification, and the integration of multi-omics and biomedical imaging to advance precision oncology
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Marcus Oehlrich, PhD
Masters Student in Biomedical Data Science, admitted Autumn 2025
BioI am a Professor of Finance, Accounting, and Taxation at accadis University of Applied Sciences in Bad Homburg, Germany, and I advise on startups, business valuation, and corporate finance. My consulting projects range from small startups in biotechnology and M&A transactions in the pharmaceutical and biotech sectors to the preparation of the business plan for the IPO of an international music and movie production group.
During my business studies, I became interested in law and medicine (especially cancer research), which is why I continued my education in these fields (including a Master of Science in Pharmaceutical Medicine, a Certificate in Pharmaceutical Law, and an MPH at Harvard T.H. Chan School of Public Health). Subsequently, I have started the M.S. in Biomedical Data Science at the Department of Biomedical Data Science at Stanford University School of Medicine.
I also had the privilege of serving as the CEO of the Institute for German, European, and International Medical Law, Health Law, and Bioethics of the Universities of Heidelberg and Mannheim (IMGB) from 2005 to 2011. At accadis University of Applied Sciences, I am Head of the Health Care Management Research Group and responsible for the Master of Arts in International Health Care Management. From 2010 to 2020, I served as the Honorary Consul of the Republic of San Marino in Frankfurt, Germany.
Most of my publications (12 books and more than 70 articles) are related to business topics. However, I also authored three books on cancer "Internetkompass Krebs [Internet compass cancer]" (Springer 2001), "Recombinant humanized monoclonal antibody Trastuzumab for the treatment of metastatic breast cancer with tumors overexpressing the HER2/neu proto-oncogene: A systematic review" (dissertation.de 2003) and "Krebs vorbeugen und bekämpfen [Preventing and combating cancer: All about prevention, early detection, therapy]" (Reader's Digest 2012). The latter was translated into Polish, Czech, Croatian, Slovenian, and Hungarian.
