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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.

Ankit Srivastava

Temporary Employee, Medicine - Med/Gastroenterology and Hepatology

Current Role at StanfordAs a research scientist, the overarching goal of my research is to elucidate targetable cellular crosstalk between hepatocytes and immune cells in the liver that promotes aging, inflammation, and cancer. To highlight this, I use spatial biology, patient-derived organoids, and disease models of cancer and inflammation.