Ashwin De Silva
Graduate Research Assistant
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolAshwin De Silva is a Ph.D. candidate in Biomedical Engineering at Johns Hopkins University with nine years of experience applying machine learning, computer vision, and signal processing to biomedical and general AI problems. His doctoral work introduced a mathematical framework called "prospective learning" for systems that learn from non-stationary data, bridging continual learning and OOD generalization and yielding publications at NeurIPS and ICML plus awards at ECCV and AGI. He has two Amazon AWS AI internships focused on generative AI, LLMs, and agents, and a strong track record in biomedical signal projects such as sEMG-driven bionic arm control and retinal biomarker extraction. Comfortable moving between theory and practice, he combines rigorous applied mathematics (MSE in Applied Math & Statistics) with hands-on system-building across academia and industry. Colleagues note his cross-disciplinary leadership and knack for translating mathematical guarantees into robust, deployable models. He is seeking industry roles where he can continue to build adaptive AI systems for biotech, robotics, finance, or other high-impact domains.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Biomedical Engineering, Bachelor of Science - BS Biomedical Engineering at University of MoratuwaManagement Accounting, Management Accounting at CIMAJohns Hopkins UniversityMathematics, Mathematics at Richmond College
Sinhalese, English
Stackoverflow
1reputation
127reached
0answers
1question
Github Skills (60)
convolutional-neural-networks10
onset-detection10
gesture-recognition10
myo10
signal-processing9
toolbox9
geometric-deep-learning9
pytorch9
deep-learning9
graph-neural-network9
graph-convolutional-networks9
kernel-density8
machine-learning8
unwrapping8
algorithm8
Programming languages (5)
Github contributions (5)
Laknath1996/laknath1996.github.io
Sep 2019 - Jul 2021
Contributions:245 pushes, 1 branch in 1 year 9 months
neurodata/ood-tl
Mar 2022 - Jan 2023
Exploring how out-of-distribution (target) tasks improve (or degrade) the performance of a learning algorithm on an in-distribution (source) task.
Contributions:427 commits, 2 PRs, 410 pushes in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.