Will Schwarzer
Hey there, I’m Will. I’m a PhD student at the University of Massachusetts Amherst, where I work with Philip Thomas, Bruno Castro da Silva and Scott Niekum. I work on AI alignment, evaluation, and oversight, and broadly associate with both the RL and safety communities. My long-term goal is to safely realize the benefits of abundant intelligence.
Fun fact: this headshot was taken at an excellent studio in Beijing while I was studying Mandarin there. I’m always happy to chat in Chinese. Aside from languages, I also enjoy playing the piano and rock climbing. I particularly love exploring climbing gyms in new countries (tally so far: three in Beijing, one in Bangkok, one in Istanbul, one in Fort William, Scotland, one in London, and a few in Montreal).
Note to prospective undergraduate and master’s collaborators: please read this before reaching out.
Note on LLM use: In general and where not prohibited, text under my name may have been drafted and edited using the assistance of LLMs. I take responsibility for and believe the correctness of all text under my name (the ICMJE authorship guidelines are a good example of what I take this to entail).
news
| Jan 30, 2026 | I’m thrilled to announce that our paper Are Deep Speech Denoising Models Robust to Adversarial Noise? has been accepted at ICLR 2026! |
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| Sep 23, 2025 | I’m proud to announce that our preprint Evaluation-Aware Reinforcement Learning has been published on arXiv! |
| Sep 19, 2025 | I’m pleased to have served as a reviewer for the Reliable ML from Unreliable Data workshop at NeurIPS 2025. |
| Sep 08, 2025 | I’ve joined Amazon as an Applied Scientist Intern, working on agentic evaluation frameworks for language model agents. |
| May 09, 2025 | I’m pleased to announce that our paper Reinforcement Learning from Human Feedback with High-Confidence Safety Guarantees has been accepted for publication at RLC 2025! |
| Apr 04, 2025 | I’m pleased to have served as a Senior Reviewer for RLC 2025! (Last year, I served as a Technical Reviewer for RLC 2024.) |
| Mar 16, 2025 | I’m proud to announce that our preprint Are Deep Speech Denoising Models Robust to Adversarial Noise? has been published on arXiv! |
| Feb 25, 2025 | I’m proud to announce that our preprint Supervised Reward Inference has been published on arXiv! |