Chandni Nagda is a Ph.D. student and Graduate Teaching Assistant at the University of Illinois Urbana-Champaign with nine years of experience in computer science and a strong foundation from UC Davis. Her research focuses on machine learning for climate science, specializing in deep generative and probabilistic models for spatiotemporal data to better capture uncertainty and dynamics in environmental systems. She blends rigorous academic research with hands-on teaching, mentoring undergraduates while advancing modeling techniques that can inform climate decision-making. Based in Champaign, Illinois, she leverages a decade-spanning journey from high school through advanced graduate study to combine practical engineering skills with research rigor. An often-overlooked strength is her emphasis on probabilistic approaches, which helps translate complex climate variability into actionable model outputs.
9 years of coding experience
Bachelor’s Degree, Computer Science Engineering, Bachelor’s Degree, Computer Science Engineering at University of California, Davis
Mission San Jose High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
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.