School of Medicine
Showing 111-120 of 742 Results
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Amer Karam
Clinical Professor, Obstetrics & Gynecology - Gynecologic Oncology
BioDr. Amer Karam is a board-certified, fellowship-trained gynecologic surgeon and clinical professor in the Stanford Medicine Department of Obstetrics & Gynecology, Division of Gynecology Oncology. He specializes in gynecologic oncology, hospice and palliative care, hereditary gynecologic cancers, laparoscopic and robotic gynecologic surgery, and obstetrics and gynecology.
Dr. Karam attended medical school at the American University in Beirut. He completed his internship and residency at the Johns Hopkins Hospital in Baltimore, Maryland, before completing a fellowship in gynecologic oncology at the University of California Los Angeles and a fellowship in breast surgery at the Memorial Sloan-Kettering Cancer Center. Dr. Karam has a vested interest in minimally invasive and robotic surgery with a practice centered on this approach for the treatment of patients with gynecologic malignancy and complicated pelvic surgery. He is currently director of Robotic Surgery and Outreach in the Division of Gynecologic Oncology. -
Abraar Karan, MD MS MPH DTM&H
Instructor, Medicine - Infectious Diseases
BioI 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) -
Amarnath K R
Affiliate, Genetics
BioAmarnath K R is a computational scientist and deep learning engineer driving breakthroughs in biomedical AI specializing in the fusion of multi-omics data, deep learning, and clinical statistics to tackle some of medicine’s most complex challenges. His current work at Stanford University's Department of Genetics focuses on developing a deep learning framework for cross-modal cell type label transfer by aligning single-cell RNA-seq and proteomics data in a shared latent space. Using autoencoders and a joint contrasitive-based training, he achieves highly reliable annotation of unlabeled proteomics cells with RNA-derived ground truth. This work enables accurate integration of transcriptomic and proteomic modalities for downstream biological discovery and holds promise for expanding cell atlases.
What sets Amarnath apart is his commitment to both technical excellence and translational impact. From designing novel transformer architectures for histopathology and image inpainting, to developing AI-powered tools for emergency departments in India, his work is grounded in real-world deployment and global health relevance. His projects span continents and disciplines like, from integrating multi-omics datasets to uncover disease mechanisms and predict therapeutic response, to an acoustic classifier for biodiversity, to decoding brain function through neuroinformatics.
With multiple publications, international collaborations, and an unwavering drive to innovate, he represents a new generation of computational scientists shaping the future of personalized, data-driven medicine.
