Selim Kalici
Contact Information
I am a graduate student in the Yale Astronomy department. My research interests generally lie at the intersection of astrophysics, machine learning, and statistical inference. My work focuses on applying neural emulators to computationally intensive multiphysics simulations of pulsating stars while incorporating rigorous uncertainty quantification. Through the combination of numerical simulations, accurate neural emulators, and robust uncertainty methodology, I hope to make computationally expensive models of pulsating stars usable at the galactic scales probed by modern astronomy surveys.
What do you do with Data Science?
I find that I learn the most when communicating with scientists applying similar techniques to me in other fields, and I am excited for the opportunity to collaborate and discuss problems with other domain experts at FDS.