I like to observe. Look for patterns. Ponder over these generalizations. Try to refute them.
Or otherwise prove their validity. And re-imagine their applications in alternate spheres.
I am a PhD candidate in Machine Learning at Carnegie Mellon University and a founding member of DatologyAI, advised by Zico Kolter and Zachary Lipton.
My research studies how training data shapes the behavior, memorization, and reliability of foundation models, with the goal of making them safe and deployable beyond controlled research settings. My research is partially supported by the OpenAI Cybersecurity Award.
Collaborate? I am always excited to exchange research perspectives and hop on to new research endeavors. If you are interested, reach out via email!