Summary
Dhanya Sridhar is a machine learning researcher and postdoctoral fellow with 12 years of experience specializing in causality and scalable probabilistic models applied to computational social science and biomedical domains. Trained with a PhD from UC Santa Cruz, she has built richly structured models for stance detection in online debates and for inferring interactions in pharmacological networks, and translated those research ideas into production-grade data science work during internships at Microsoft. Based at Columbia and active in the Montreal research ecosystem, she combines theoretical contributions with practical algorithmic implementations for multi-relational and multi-modal inference problems. Beyond publications, she has hands-on experience improving tooling and evaluation pipelines (auto-graders, A/B tests, production filters), reflecting a pragmatic approach to making models robust and deployable.
12 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Double Major in Computer Science and Mathematics, 3.82, Bachelor’s Degree, Double Major in Computer Science and Mathematics, 3.82 at Binghamton University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Santa Cruz - Jack Baskin School of Engineering
English