Anand Avati

I am a final year PhD candidate at the Stanford AI Lab (with Andrew Ng), where I am the Technical Lead of the AI-Enabled ACP project (currently deployed and operational at Stanford Hospital, impacting patient care everyday). I am also a lead-author and inventor of NGBoost (the first gradient boosting algorithm with probabilistic modeling capability).

At Stanford, I have enjoyed being the Principal Instructor of CS229, Stanford’s hallmark Machine Learning course, for two quarters.

Before starting my PhD, I was a Distinguished Engineer at the Red Hat CTO Office, which I joined as part of the acquisition of Gluster Inc, where I was a founding engineer, Lead Architect and maintainer of the open source distributed filesystem GlusterFS.