School of Medicine
Showing 1-8 of 8 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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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 in the laboratories of Paul Khavari and Howard Chang I conduct bioinformatics research to study the molecular mechanisms of tissue development, cancers, autoimmunity and chronic diseases using multiomics, with a focus on the non-coding genome.
I have ten 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.
Prior to graduate training and academic research, I was a full-stack software engineer in industry for three years.
