School of Medicine
Showing 1-9 of 9 Results
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Vishnu Priya Kanakaveti
Postdoctoral Scholar, Oncology
Current Research and Scholarly InterestsI am interested in elucidating molecular mechanisms of MYC-driven drug resistance and immune evasion in cancer using computational and experimental models.
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Abraar Karan, MD MS MPH DTM&H
Instructor, Medicine - Infectious Diseases
Postdoctoral Medical Fellow, Infectious DiseasesBioI am an Instructor in the Division of Infectious Diseases and Geographic Medicine with affiliations in the Center for Innovation in Global Health, the King Center on Global Development, and the Woods Institute for the Environment. I worked on the Covid19 outbreak for the Massachusetts Department of Public Health in 2020, and the Monkeypox outbreak for the Los Angeles County Department of Public Health in 2022-23. I also served on the WHO-commissioned Independent Panel on Pandemic Preparedness and Response's research team investigating early global spread of Covid19, and helped with policy-writing for the Biden-Harris campaign on reducing Covid19 in schools. I am currently the Principal Investigator of the following studies: a cluster-randomized controlled trial investigating whether air filtration and ventilation can reduce spread of Covid19 in low-income homes in the Bay Area (https://clinicaltrials.gov/ct2/show/NCT05777720); utilizing multiplex assays for detecting exposures to filoviruses in Western Kenya; and assessing H5N1 seroprevalence in high-risk farmworker communities in California. I am also a co-investigator on a study focused on rtPCR based surveillance of H5N1 in humans in Central California.
I completed my internal medicine residency at the Brigham and Women's Hospital/Harvard Medical School in the Global Health Equity program, and have been working in global health since 2008. I co-edited the book, "Protecting the Health of the Poor" (December 2015, Bloomsbury Publishing, https://www.bloomsbury.com/us/protecting-the-health-of-the-poor-9781783605521/); and co-founded Longsleeve insect repellent, winner of the 2018 Harvard Business School New Venture Competition and finalist in the 2019 Harvard President's Challenge. Media/press coverage has included NBC, ABC, BBC, PBS, CBS, CNN, MSNBC, Fox News, Washington Post, New York Times, SF Chronicle, Bloomberg, Boston Globe, ProPublica, WSJ, TIME, Politico, CBC News, Democracy Now, NPR, ESPN, The Atlantic, The Hill, Business Insider, Vice, Mother Jones, Vox, Forbes, Slate, STAT News, MTV News, Mother Jones, Science Friday, TMZ.
For a full list of publications, please see "Publications" tab. For full list of press/media interviews, please see "Media" link.
Teaching Experience:
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2024)
Teaching Assistant-- Epi 237, Practical Approaches to Global Health Research (Autumn 2024)
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2025) -
Arash Keshavarzi
Postdoctoral Scholar, Cardiovascular Medicine
BioArash Keshavarzi, PhD, has a background in Molecular Biology and AI drug discovery, with experience bridging AI and biotechnology. He used to be the CSO of Nucleus Genomics, a company that has raised over $30 million in funding from prominent investors including Founders Fund. He is the Co-founder of Lumos Bio, a UCSF spin-off focused on pioneering RNA-targeting cancer therapeutics, and also a co-founder of Entelligent.ai, driving innovation in AI driven intelligence. Additionally, Arash is actively involved in venture capital and investment as an Investment Fellow at Mubadala Capital, where he builds investment thesis, sources deals, and helps both biotech and AI teams. His career uniquely blends deep scientific expertise, entrepreneurial acumen, and strategic investment insights.
He has published over 10 academic papers in AI Therapeutics fields
He has published two book chapter in AI medicine
He has two patents in AI for small molecule drug discovery, one approved, one pending -
Pik Fang Kho
Postdoctoral Scholar, Cardiovascular Medicine
BioI obtained my PhD in genetic epidemiology at Queensland University of Technology (Australia), where my research was focused on using genetic and genomic approaches to identify risk factors for endometrial cancer. During my graduate studies, I gained experience in large-scale genetic association studies and leveraging the correlation between diseases in genetic studies to identify novel genetic variants associated with endometrial cancer. I also developed expertise in various statistical genetic approaches in multi-omics data, including fine-mapping and colocalization analyses, to prioritize candidate causal variants and genes. I also gained extensive experience in genetic causal inference analysis to infer causality between risk factors and health outcomes.
My research focus since moving to Stanford has been the identification of genetic and non-genetic determinants of cardiometabolic diseases. I am currently involved in projects including large-scale genetic association studies, multi-trait analysis with correlated traits, development and validation of polygenic risk scores, integrative analyses with multi-omics data, as well as Mendelian randomization analyses to advance our understanding of the genetic and environmental factors that contribute to cardiometabolic diseases. -
Qinqin Kong
Postdoctoral Scholar, General Internal Medicine
BioI am currently a Postdoctoral Scholar in the Departments of Medicine and Health Policy at Stanford University, after earning a PhD in atmospheric science from Purdue University. My research interests lie at the intersection of climate change—particularly extreme heat—and human society. I aim to advance our understanding of the physical mechanisms, cascading impacts, and the effectiveness of potential mitigation strategies for human heat stress. My PhD research focused on how land-atmosphere interactions modulate heat stress, as well as the economic and energy impacts of increasing heat stress in the context of climate change. My postdoctoral research at Stanford evaluates the impact of heat stress on public health, especially human fertility, in low- and middle-income countries. My methodological areas of expertise include climate modeling, human biophysics modeling, and econometric modeling, which I am further developing at Stanford.
