news

Dec 09, 2025 📈 Improved theoretical result of our previous work! “DS FedProxGrad: Asymptotic Stationarity Without Noise Floor” now on arXiv. Improved convergence analysis eliminating the noise floor dependence from my previous Group Fed Paper work!
Nov 11, 2025 🔬 New preprint released! “Patching LLM Like Software” work from IBM 2025 internship now available on arXiv. Lightweight safety improvements for large language models!
Sep 01, 2025 🏆 Awarded the Founders Award of Excellence (Top 1% Graduate Students at RPI) for excellence in academics and overall leadership.
Apr 15, 2025 🥈 2nd Place at the 3 Minute Thesis Competition for my thesis presentation. Listen to my pitch!
Apr 01, 2025 🎯 Successfully defended my PhD Candidacy Exam!
Dec 15, 2024 🏅 Awarded the Belsky Award for Computational Science and Engineering 2025 (Top 6 Graduate Students for Excellence in Research). Learn more
Dec 10, 2024 📄 Three papers accepted! Data leakage work from IBM internship accepted to SATML 2025, federated learning work to TMLR 2025, and weather prediction attacks from LLNL internship to AAAI 2025.
Oct 01, 2024 📚 Book chapter published! First author on “Utility Privacy Tradeoff” chapter in Federated Learning for Medical Imaging book.
Aug 01, 2024 📜 Patent published! “Reprogrammable FL” patent now publicly available (US20240256894A1).
Feb 01, 2023 🎉 IBM internship work published! “Reprogrammable-FL” research from IBM 2022 internship accepted to SATML 2023. Novel federated learning approach with model reprogramming techniques.