School of Medicine
Showing 601-620 of 12,907 Results
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Amir Bahmani
Instructor, Genetics
BioAmir Bahmani is a Genetics Instructor and Director of Stanford's Deep Data Research Center (https://deepdata.stanford.edu ) at the Stanford School of Medicine. He has worked on distributed and parallel computing applications since 2008. Amir is currently an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Integrated Personal Omics Profiling (iPOP), and Bridge to Artificial Intelligence (Bridge2AI).
His team has designed and developed several notable cloud-scale frameworks, including the Personal Health Dashboard (PHD), cloud-based cost-saving platforms such as Hummingbird and Swarm, and the MyPHD platform, which now has over 12,000 participants and hosts more than 37 studies. His team also created Stanford Data Ocean (SDO), an innovative platform for educating engineers and biologists. SDO is the first serverless multi-omics and wearables data platform used for education and training.
Since 2017, he has trained more than 30 graduate interns (engineers and designers) from outside the School of Medicine, engaging them in the field of medicine. His course has been offered to physicians, biologists, engineers, and designers, earning him recognition as the recipient of Stanford’s 2024 Walter J. Gores Award for Excellence in Teaching. In 2023, he received the Terman Mentorship Award for mentoring Terman Fellow Ryan Park (top 1%), who transitioned to a Genetics PhD program inspired by Amir’s course. Committed to accessibility in education, Amir created a first-of-its-kind scholarship for under-resourced communities at Stanford, providing his course free of charge—along with Genetics certificates—to over 4,500 students from under-resourced backgrounds across 104 countries and all 50 U.S. states. -
Jehan Bahrainwala, MD, FASN
Clinical Assistant Professor, Medicine - Nephrology
BioDr. Bahrainwala is a board-certified, fellowship-trained nephrologist with the Stanford Medicine Kidney Clinic. She is a Certified Hypertension Specialist practicing at the AHA-Certified Stanford Hypertension Center. One of her main clinical areas of focus is the diagnosis and treatment of resistant hypertension and secondary hypertension. She also has a clinical interest in caring for patients who are pregnant or planning pregnancy with hypertension and kidney disease. In addition to hypertension, she also cares for patients with all types of kidney diseases. Her extensive experience includes caring for patients with electrolyte abnormalities, kidney stones, chronic kidney disease and end stage kidney disease.
Dr. Bahrainwala is skilled at creating connections with her patients. She treats the whole person rather than the condition. She also strongly believes in patient education and involving them in the medical decision-making process. She integrates their goals of care and other aspects of advanced care planning into treatment planning. She is also interested in the conservative care of elderly patients with advanced kidney disease. She has formal communication skills training in discussing serious illnesses with patients through Vital Talk.
In addition to being a clinician, she is committed to and involved in the medical education of trainees at all levels including medical students, residents and fellows. She is a fellow and a member of the American Society of Nephrology. Additionally, she is a member of the National Kidney Foundation and the American Heart Association. She is double board certified in internal medicine and nephrology. -
Xiangqi Bai
Postdoctoral Scholar, Oncology
BioMy research is focused on computational and systems biology. My primary research interest lies in developing new computational algorithms and statistical methods for the analysis of complex data in biological systems, especially related to the large-scale single-cell RNA sequencing data. The specific topics I have examined include:
1. Integration of single-cell multi-omics datasets for tumor
2. Statistical test of cell developmental trajectories
3. Visualization and reconstruction of single-cell RNA sequencing data
4. Computational analysis of the bifurcating event revealed by dynamical network biomarker methods -
Fred M Baik, MD
Assistant Professor of Otolaryngology - Head & Neck Surgery (OHNS)
BioDr. Baik is Assistant Professor of Otolaryngology – Head & Neck Surgery at Stanford University. He provides comprehensive surgical care for patients with head and neck cancer, both as an ablative and reconstructive surgeon. His clinical interests include oral cavity cancer, complex skin cancer, microvascular reconstruction and the diagnosis and management of nodal metastasis. With his background in fluorescence imaging, Dr. Baik’s research focuses on surgical navigation using targeted agents to improve tumor margin assessment and the detection of nodal metastasis, and he currently leads several clinical trials to translate novel imaging techniques.
Dr. Baik graduated with honors in Biology at the University of Pennsylvania and received his medical degree at UC San Diego. After completing his Otolaryngology residency at the University of Washington, he pursued advanced training in Head and Neck Oncology & Reconstructive Surgery at Mount Sinai Beth Israel Hospital in New York City. He is a board-certified by the American Board of Otolaryngology, and a member of the American Head and Neck Society, American Academy of Otolaryngology – Head and Neck Surgery, and a fellow of the American College of Surgeons.
