Scholar
Ashwin De Silva
Google Scholar ID: xqhwEGIAAAAJ
PhD Student, Johns Hopkins University
Citations & Impact
Citations
137
H-index
6
i10-index
6
Publications
12
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications: 'Prospective Learning: Learning for a Dynamic Future' (NeurIPS 2025), 'The Value of Out-of-Distribution Data' (ICML 2024), 'Simple Calibration via Geodesic Kernels' (TMLR 2025), etc. Awards: Best Student Paper Award at AGI 2025, Membership in Alpha Eta Mu Beta (AEMB), MINDS Fellowship, etc.
Research Experience
- PhD candidate at the Department of Biomedical Engineering at Johns Hopkins University, advised by Prof. Joshua Vogelstein, Prof. Pratik Chaudhari, and Prof. Carey Priebe. Spent the 2025 summer as an applied scientist intern (Foundational AI Research Team) at Amazon. Presented at multiple academic conferences.
Education
- Master's degree in Applied Mathematics and Statistics from Johns Hopkins University in 2024; Bachelor's degree in Biomedical Engineering from the University of Moratuwa, Sri Lanka in 2020.
Background
- Research Interests: Learning theory, computer vision, generative modeling, continual learning, OOD generalization, and reinforcement learning. Professional Field: Biomedical Engineering. Background: A 5th-year PhD candidate at the Department of Biomedical Engineering at Johns Hopkins University, focusing on learning from non-stationary data and developing a mathematical framework called prospective learning.
Miscellany
- Personal Interests: Enjoys spending time with his wife Malsha, playing the piano, hiking, running, and swimming. Also passionate about history and astronomy.
Co-authors