Sharada Kalanidhi

Bio

Sharada Kalanidhi is Director of Data Science at Stanford Genome Technology Center, SGTC (Dept of Biochemistry), Stanford University School of Medicine. Prior to this role, she worked in industry for 20+ years in roles involving quantitative strategy, data science and statistics. Her experiences shape her multi-disciplinary outlook and approach.

A decade of her experience was in the bond markets, where she developed trading and portfolio strategies on interest rate derivatives and mortgage portfolios. When a family member developed symptoms of unexplained fatigue, she became drawn to biostatistical problems. She assisted researchers at SGTC with data science and statistical analysis on ME/CFS patients, and finally joined them full-time. Her recent research has involved multivariate and machine learning analysis of the genomics, proteomics and metabolomics underlying ME/CFS, and post-viral fatigue (such as long Covid.) Her research interests are biological and chemical intersections with (pure) mathematics. She is an inventor on several granted US patents.

Current Role at Stanford

She is currently building out a Data Science Hub with a research focus on Mathematical Biology and Mathematical Chemistry.

Patents

• "United States Patent 8996510 Identifying digital content using bioresponse data", Mar 31, 2015
• "United States Patent 8719278 Method and system of scoring documents based on attributes obtained from a digital document by eye-tracking data analysis", May 6, 2014
• "United States Patent 8509826 Biosensor measurements included in the association of context data with a text message", Aug 13, 2013