Stanford University
Showing 1-9 of 9 Results
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Suzanne Michelle Sachsman, MD
Basic Life Research Scientist, Dermatology
BioSuzanne Sachsman, M.D., is Clinical Assistant Professor of Dermatology. Dr. Sachsman received her Bachelor of Science degree in engineering from Brown University in 2000. She received her medical degree from the Keck School of Medicine of the University of Southern California in 2008 where she spent one year doing dedicated basic science research studying cancer immunotherapy. She trained in radiation oncology, completing residency at USC and fellowship at the University of Florida Health Proton Therapy Institute, prior to completing her dermatology residency at the University of California, Los Angeles in 2018. Dr. Sachsman is a board certified dermatologist and Fellow of the American Academy of Dermatology. Her clinical interests are general dermatology and complex medical dermatology including acne, psoriasis, atopic dermatitis, high risk non-melanoma skin cancer, pigmented lesions, supportive dermato-oncology, and cutaneous lymphoma.
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Mrinmoy Sanyal
Research Scientist, Dermatology
BioMrinmoy Sanyal obtained his undergraduate and master's degree in Human Physiology at the University of Calcutta. He did his Ph.D. in Biochemistry at All India Institute of Medical Sciences, New Delhi, working on reproductive immunology, with the focus on trophoblast invasion and differentiation and their role in human blastocyst implantation. Then, he moved to Stanford University for a postdoctoral fellowship on the role of transcription factor Pbx1, a leukemia proto-oncogene, on B cell development. Currently, he is Research Scientist at Department of Biochemistry, Stanford University. His work covers various topics, including B cell responses to viral infection and vaccination, human primary immunodeficiency, and biology of lymphocyte development and function and to elucidate etiology of immunological disorders.
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Suhas Srinivasan, Ph.D.
Principal Bioinformatics Scientist, Dermatology
BioI develop computational algorithms including AI/ML and statistical methods to discover insights at various resolutions of the biological hierarchy i.e., molecules, cells, tissues, organs, organism and population-scale.
In my current role, I conduct bioinformatics research to study tissue development, cancer evolution, and autoimmunity using multiomics, with a focus on the non-coding genome.
I have over 9 years of academic research experience and received my Ph.D. in Data Science specializing in AI/ML development for diverse topics in biomedicine.
My research interests include artificial intelligence to identify novel patterns in multiomics data, psychometrics and neuroimaging data; structural bioinformatics and computational epidemiology. Additionally, I have conducted research in anomaly detection, and community detection in biological networks.
I am the co-inventor of a patented anomaly detection method for real-time streaming data.
