Jathurshan Pradeepkumar
CS PhD Student
University of Illinois Urbana-Champaign
Jathurshan Pradeepkumar
CS PhD Student
University of Illinois Urbana-Champaign
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CS PhD Student
University of Illinois Urbana-Champaign
I am a second-year Computer Science Ph.D. student at the University of Illinois, Urbana-Champaign. I am fortunate to be advised by Prof. Jimeng Sun. Previously, I was a joint post-baccalaureate fellow at Harvard (Wadduwage lab and SO lab) and obtained my bachelor's in biomedical engineering at the University of Moratuwa, Sri Lanka. My current research focuses on:
I am a second-year Computer Science Ph.D. student at the University of Illinois, Urbana-Champaign. I am fortunate to be advised by Prof. Jimeng Sun. Previously, I was a joint post-baccalaureate fellow at Harvard (Wadduwage lab and SO lab) and obtained my bachelor's in biomedical engineering at the University of Moratuwa, Sri Lanka. My current research focuses on:
Biosignal (EEG) analysis, representation learning, and neurological applications
LLMs for oncology and survivorship care
Deep learning for clinical trials
Outside work, I follow Formula 1, play badminton or volleyball, and travel.
Outside work, I follow Formula 1, play badminton or volleyball, and travel.
News
News
June 2025 - Our work, Survivorship Navigator, has been accepted for 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.
Education
Education
Research Experiences
Research Experiences
PhD Student
UIUC CS
2023 - Present
BSc in Biomedical Engineering
University of Moratuwa
2018 - 2022
Post-Bac Fellow
Computational Imaging / Computational Biology
Harvard University
2021 - 2023
Research Intern
University of Melbourne, Australia
2020 - 2021
Bio (Before Grad Studies)
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.
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.
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.
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.
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.
HONORS AND AWARDS
HONORS AND AWARDS
Dec - 2022
Dec - 2022
Sept - 2021
Sept - 2021
Oct - 2020
Oct - 2020
First Class (Honors) - BSc in Biomedical Engineering
First Class (Honors) - BSc in Biomedical Engineering
Second-Runners up at Video and Image Processing Cup at International Conference on Image Processing (ICIP).
Second-Runners up at Video and Image Processing Cup at International Conference on Image Processing (ICIP).
IEEE SMC Winners at BR4IN.IO Hackathon at IEEE System, Man and Cybernetics Conference,Toronto.
IEEE SMC Winners at BR4IN.IO Hackathon at IEEE System, Man and Cybernetics Conference,Toronto.
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