Recent News

• Nov 2025 - Served as Junior Chair for drug discovery research roundtable at ML4H 2025.

• Oct 2025 - Research project I mentored during the summer under the Pyhealth Research Initiative got accepted to ML4H 2025!😀  

• Sep 2025 - Single Channel EEG tokenization was accepted as Spotlight to NeurIPS TS4H 2025!😀 

• June 2025 - Our work, Survivorship Navigator, has been accepted for Oral presentation at AMIA 2025!😀

• May 2025 - Our work on the large clinical trial benchmark TrialPanorama has been released!

• Mar 2025 - Survivorship Navigator preprint has been released!

• Feb 2025 - Our work on Single Channel EEG tokenization has been released!

• Aug 2024 - Interpretable cross-modal transformers for sleep staging published in the IEEE Transactions on Neural Systems and Rehabilitation Engineering!😀

• June 2024 - Our work on the Clinical Trial Outcome Benchmark has been released! [Project Page] [Webinar]

• May 2024 - Abstract on LLMs for Survivorship Care published at ASCO 2024.

Bio (Before Grad Studies)

Previously, I was a joint post-baccalaureate fellow affiliated with the Wadduwage Lab and SO Lab at Harvard University. My current research focuses on the application of deep learning techniques for microscopy image analysis and histopathology with Dr. Dushan Wadduwage, and modeling structural ensembles that represent conformational changes of proteins with Dr. Sergey Ovchinnikov. 

Prior to my time at Harvard, I pursued my bachelor's degree in biomedical engineering at ENTC, University of Moratuwa, Sri Lanka. I did my thesis project on "Interpretable Multi-Modal Sleep Monitoring System using Ear-EEG and EOG" done under collaboration with Dr. Chamira Edussooriya, Dr. Anjula De Silva and Dr. Simon Lind Kappel. 

During my senior year, I worked on a Harvard-MIT collaborative research as a remote undergraduate researcher with Dr. Dushan Wadduwage, where I developed a deep learning based inverse solver reconstruct microscopy images such that 1) the developed deep learning algorithm is independent of the physics of microscopy and 2) the number of excitation patterns required for reconstruction is minimal.  

Previously, I pursued my remote research internship with Dr. Sam John at University of Melbourne, Australia, where I developed a mouse retinal layer segmentation algorithm for a study on Parkinson’s disease.