Imaging-based Prostate Cancer Detection

My postdoctoral research involved developing multimodal machine learning algorithms for imaging-based prostate cancer detection that can help (a) standardize radiologist interpretations, (b) guide targeted biopsies, and (c) avoid unnecessary biopsies.

Multimodal Human Behavior Estimation

My doctoral research involved developing multimodal-sensor-enabled systems for understanding human behavior and group dynamics in task-based interactions.

Multimodal Medical Data Fusion

This project investigates how to integrate multimodal and multiscale medical imaging and non-imaging data (radiology and pathology images, clinical variables, -omics data) for disease detection, aggressiveness classification, and treatment planning.