Ian Quah

Ian Quah

I am a second-year Ph.D. student in the Neural Systems and Behavior program at the University of Washington. My research integrates Neuroscience, Psychology, and Machine Learning, aiming to use machine learning techniques to gain insights into biological processes and leverage those insights to refine and enhance model performance.

In addition, I work on privacy-preserving machine learning, specializing in homomorphic encryption for secure computations. I contribute to the OpenFHE lattice-cryptography library, where I serve as the Head of Technical Outreach.

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