Stanford University
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Adam Spitzig
Ph.D. Student in Environment and Resources, admitted Autumn 2024
Student Worker, Ethics In SocietyBioAdam Spitzig is a PhD candidate in Environment and Resources (E-IPER) at Stanford University’s Doerr School of Sustainability. He is a historical ecologist and data scientist whose research examines long-term biodiversity dynamics and their human drivers.
His work integrates paleoecological data (especially fossil pollen records), archaeological and historical sources, geospatial analysis, and statistical modeling to understand when and how human societies have increased, maintained, or reduced biodiversity. He is particularly interested in identifying cases of sustained anthropogenic biodiversity expansion and examining the institutional, economic, infrastructural, and land-use processes that produced them. His work also explores how long-term ecological knowledge can inform contemporary conservation and restoration strategy.
Before beginning his PhD, he led ecological modeling and machine learning initiatives in conservation and technology organizations, including Ducks Unlimited and several data-driven startups.
He holds a Master in Public Administration from Harvard University, a Master of Information & Data Science from UC Berkeley, a Master of Environmental Management and a Juris Doctor from Duke University, and a BA from the University of Florida. -
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. -
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.
