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Add Neil Kale to Ph.D Students
Bio, MIT email, website, and headshot (cropped square, downscaled to 560x560 to match the other photos: 3.9 MB PNG -> 60 KB JPEG). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_018asg1b3bxs9Bckinz6Qwxz
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Aruna is a PhD student interested in using interpretability methods to explain model and human behaviours. Her work utilizes causal interpretability methods to encourage model safety. Her past work has included understanding how humans interface with AI generated content, as well as audits of black box social media algorithms. She loves free and open source software, Tamil Bhakti poetry, and giant trees.
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<img style="padding-right: 15px;" src="/docs/assets/neil.jpg" width="160" height="160" alt="Neil Kale">
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<strong>Neil Kale</strong>, nkale[at]mit[dot]edu, <a href="https://neilkale.github.io/">Website</a>
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Neil is a PhD student interested in post-trainability and algorithms for continual learning: teaching ML models to adapt to distribution shift and learn new skills over time. Before his PhD, he completed his Master&#8217;s degree at Carnegie Mellon University, advised by Prof. Virginia Smith and Prof. Aditi Raghunathan, and spent a year in industry working on continual learning. Prior to that, he studied CS and Mathematics at WPI, supervised by Randy Paffenroth. He enjoys urban sketching, cafe-hopping, and vibe-coding cool math demos.
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<img style="padding-right: 15px;" src="/docs/assets/pjkc.jpg" width="160" height="160" alt="Phillip Christoffersen">
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<strong>Phillip Christoffersen</strong>, philljkc[at]mit[dot]edu, <a href="http://people.csail.mit.edu/philljkc/">Website</a>

docs/assets/neil.jpg

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