I am a third-year Ph.D. candidate in Computer Science at the University of Colorado Boulder, advised by Professor Danna Gurari in the Image and Video Computing (IVC) Group. My research centers on developing vision systems that can accurately segment and track objects and their constituent parts across images and videos. I focus on image and video instance segmentation, multi-object tracking, and dataset creation.
Before beginning my Ph.D., I worked as a Computer Scientist at the Naval Air Systems Command (NAVAIR), where I developed reinforcement learning systems for various defense simulations. Earlier, I spent several years as a research intern at Los Alamos National Laboratory, contributing to projects in cryptography, network analysis, and astrophysics. I earned my B.S. in Mathematics & Computer Science from UC San Diego and have since gained experience across industry and research labs. I am currently an AI engineering intern at LightTable, where I hope to continue bridging academic innovation and industry-scale deployment in computer vision.
NEWS
PUBLICATIONS
Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information, Neelima Prasad, Jarek Reynolds, Neel Karsanbhai, Tanusree Sharma, Lotus Zhang, Abigale Stangl, Yang Wang, Leah Findlater, Danna Gurari. Winter Conference on Applications of Computer Vision (WACV), 2026. [paper]
Constraints on Gamma-ray Burst Inner Engines in a Blandford-Znajek Framework, Nicole M Lloyd-Ronning, Chris Fryer, Jonah M Miller, Neelima Prasad, Chris Torres, Phillip Martin. Monthly Notices of the Royal Astronomical Society, 2019. [paper]