Anil Saini is a research data scientist at Cedars-Sinai's Department of Computational Medicine, applying AI to address real-world healthcare and societal challenges. He collaborates with multidisciplinary teams to design fair machine learning and AutoML methods for medical data. He earned a PhD and MS in Computer Science from the University of Massachusetts Amherst and a B.Tech from IIT Roorkee, with his doctoral work centered on genetic programming. He was awarded the Best Paper Award at EuroGP 2020 for his work on parent selection methods, highlighting his contributions to evolutionary computation. His career spans a postdoctoral role at Cedars-Sinai and an industry internship at Adobe Research India, illustrating a strong blend of research and practical application. Based in Los Angeles with about eight years of experience, he continually translates academic insights into clinically impactful AI solutions.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at IIT Roorkee
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer 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
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