Anil Saini is a Research Data Scientist at Cedars-Sinai with nine years of experience applying AI to healthcare, specializing in fair machine learning and AutoML for medical data. He holds a PhD and MS in Computer Science from UMass Amherst and a B.Tech from IIT Roorkee, and transitioned from a postdoc into a research scientist role at Cedars-Sinai in 2024. His PhD work on genetic programming earned a Best Paper Award at EuroGP 2020, reflecting deep expertise in evolutionary methods and automated model discovery. Anil blends academic rigor with industry experience from Adobe Research, collaborating across multidisciplinary teams to translate novel methods into clinically relevant tools. He is based in Los Angeles and notably focuses on fairness-aware AutoML—an often underappreciated but crucial bridge between research advances and equitable healthcare impact.
9 years of coding experience
7 years of employment as a software developer
Indian Institute of Technology Roorkee
Doctor of Philosophy Computational Science, Doctor of Philosophy Computational Science at University of Massachusetts Amherst
Intermediate, Intermediate at D. A. V. Public School, Naraingarh
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Contributions:2 PRs, 16 pushes, 3 branches in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.