Congratulations to PhD student Gabriel Loewinger who recently received a F31 – Ruth L. Kirschstein Predoctoral Individual National Research Service Award from The National Institute on Drug Abuse.
Gabe’s F31 focuses on developing prediction methods that seek to improve model generalizability by borrowing information across different datasets (“multi-study machine learning”). His work leverages tools from mixed integer programming to optimally combine data from multiple sources in a manner such that the distribution of covariates in the training set matches that of the test set. This research is motivated by new technologies in neuroscience that seek to estimate neurotransmitter concentration in human participants.
