Zichao Zhang

I’m a Master’s student in Data Science at New York University, and I serve as a section leader for the undergraduate Causal Inference course. My work bridges machine learning and data-centric systems—from interpretable vision and protein modeling to neural decoding and fairness auditing—and I care about clarity, reproducibility, and human-centered impact.

I earned my B.A. in Data Science and Computer Science, with a minor in Business Studies, at NYU. During my undergraduate years, I had the privilege of working with Daniel Berenberg in Kyunghyun Cho’s group on protein representation learning and comprehensive benchmarking for remote homology, and at NYU Langone’s CN³ Lab on neural decoding using large neural datasets. I’m currently seeking Summer 2026 Data Science / Machine Learning internships.