Nikhil Shanbhogue is a doctoral student in electrical and computer engineering at Georgia Tech. With the Madabhushi Lab, he is focused on using AI to develo foundation models and to understand the role of macrophages in pancreatic cancer cohorts. Specifically, he is generating synthetic captions by locally hosted MLLMs, followed by incorporating multiple image normalization strategies to train a pathology foundation model. He additionally is interested in using LLMs to proposal diagnostic frugality in radiology assessments for patients.
Prior to joining the lab, Nikhil was an embedded systems engineer with Netradyne, a fleet safety camera startup in Bangalore, India. He specifically developed the firmware for a low-power microcontroller, designed power adapters, and USB to CAN protocol converters that are currently deployed and used by smart cameras to monitor driver behavior for logistics complanies around the globe.
He was a student researcher in Dr. May Wang's Lab at Georgia Tech, where he worked on incorporating GradCAM for 3D MRI brain scans of Alzheimer's patients, as well as a student researcher in the CBA Lab at Georgia Tech, where he worked on analyzing the memorization patterns of LLMs when predicting human motion sensor data from smartwatches. Most recently, he worked as a graduate research assistant at Georgia Tech, during which time he developed sentiment analysis and aspect term extraction models, used LLMs and clustering algorithms for semantic analysis, autobiographical memory classification, and prediction of cluster pool of interviewees for key events in life.
Nikhil earned his undergraduate degree in electrical and electronics engineering from the BMS College of Engineering (Bangalore), followed by a masters degree in electrical and computer engineering from Georgia Tech.