Stanford University
Showing 1-10 of 16 Results
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Asiri Ediriwickrema MD, PhD
Assistant Professor of Medicine (Hematology)
BioAsiri Ediriwickrema, MD, PhD, is an Assistant Professor of Medicine (Hematology) at the Stanford University School of Medicine. His clinical focus is on the diagnosis, evaluation, and management of patients with myelodysplastic neoplasms and clonal hematopoiesis.
Dr. Ediriwickrema earned his undergraduate degree in Engineering from the Massachusetts Institute of Technology, his MD (Cum Laude) from Yale University, and his PhD from Stanford University. He completed his residency in Internal Medicine and fellowship in Hematology at Stanford, where he also conducted his doctoral and postdoctoral research in the laboratory of Dr. Ravi Majeti. His research identified novel populations of multipotent progenitor cells in normal hematopoiesis and leukemia stem cells in acute myeloid leukemia (AML).
He currently leads a systems hematology laboratory that integrates advanced single-cell technologies, computational biology, and functional hematology to study both normal and malignant blood development. His research has been supported by numerous awards, including the NIH Ruth L. Kirschstein National Research Service Award (F32), the American Society of Hematology Scholar Award, and the Edward P. Evans Foundation Young Investigator Award. -
Elizabeth Egan
Associate Professor of Pediatrics (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsMalaria is a parasitic disease transmitted by mosquitos that is a leading cause of childhood mortality globally. Public health efforts to control malaria have historically been hampered by the rapid development of drug resistance. The goal of our research is to understand the molecular determinants of critical host-pathogen interactions in malaria, with a focus on the erythrocyte host cell. Our long-term goal is to develop novel approaches to prevent or treat malaria and improve child health.
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Johannes C. Eichstaedt
Assistant Professor (Research) of Psychology
Current Research and Scholarly InterestsLarge Language Models and AI: use of LLMs for mental healthcare delivery and well-being, safety and bias evaluation; anticipating impacts of AI on society
Methods: Natural Language Processing & LLMs; data science; longitudinal methods, machine learning, and psychological assessment through AI
Mental and physical health: depression and anxiety; health psychology: heart disease and opioid addiction
Well-being: emotion, life satisfaction, and purpose, and their individual and societal causes -
Shirit Einav
Professor of Medicine (Infectious Diseases) and of Microbiology and Immunology
Current Research and Scholarly InterestsOur basic research program focuses on understanding the roles of virus-host interactions in viral infection and disease pathogenesis. This program is combined with translational efforts to apply this knowledge for the development of broad-spectrum host-centered antiviral approaches to combat emerging viral infections, including dengue, encephalitic alphaviruses, coronaviruses, and filoviruses, and means to predict disease progression.
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Drew Endy
Associate Professor of Bioengineering and Senior Fellow, by courtesy, at the Hoover Institution and at the Freeman Spogli Institute for International Studies
Current Research and Scholarly InterestsWe work to strengthen the foundations and expand the frontiers of synthetic biology. Our foundational work includes (i) advancing reliable reuse of bio-measurements and -materials via standards that enable coordination of labor, and (ii) developing and integrating measurement and modeling tools for representing and analyzing living matter at whole-cell scales. Our work beyond the frontiers of current practice includes (iii) bootstrapping biotechnology tools in unconventional organisms (e.g., mealworms, wood fungus, skin microbes), and (iv) exploring the limits of whole-genome recoding and building cells from scratch. We also support strategy and policy work related to bio-safety, security, economy, equity, justice, and leadership.
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Barbara Elizabeth Engelhardt
Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science
BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.
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Edgar Engleman
Professor of Pathology and of Medicine (Immunology and Rheumatology)
On Leave from 07/01/2025 To 06/30/2026Current Research and Scholarly InterestsDendritic cells, macrophages, NK cells and T cells; functional proteins and genes; immunotherapeutic approaches to cancer, autoimmune disease, neurodegenerative disease and metabolic disease.
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Jesse Engreitz
Assistant Professor of Genetics
Current Research and Scholarly InterestsRegulatory elements in the human genome harbor thousands of genetic risk variants for common diseases and could reveal targets for therapeutics — if only we could map the complex regulatory wiring that connects 2 million regulatory elements with 21,000 genes in thousands of cell types in the human body.
We combine experimental and computational genomics, biochemistry, molecular biology, and genetics to assemble regulatory maps of the human genome and uncover biological mechanisms of disease.
