Veer is an undergraduate at Yale University studying Computer Science. During his time at Yale he has worked with the Image Processing and Analysis Group at the Yale School of Medicine to develop a novel cost function to improve U-Net performance in segmentation tasks, and with the Center for Outcomes Research and Evaluation to test the efficacy of novel survival learning based Deep Neural Networks for personalized treatment models.

Veer’s current research focuses on utilizing data science for the analysis of multi-modal inputs from the EHR.