About Me

Hi! I’m a 3rd year PhD candidate in Computer Science at NYU Courant Institute of Mathematical Sciences, working on explainable machine learning and machine learning for healthcare, advised by Professor Rajesh Ranganath.

I graduated from Yale University with a MS in Computer Science and a BS in Computer Science and Applied Mathematics. As an undergraduate student, I had the pleasure to work with Professor Smita Krishnaswamy and Professor David van Dijk on projects investigating the use of graph neural networks on analyzing sequencing data.

Publications

• Explanations that reveal all through the definition of encoding. Conference on Neural Information Processing Systems (NeurIPS), 2024. Work by Aahlad Puli*, Nhi Nguyen*, Rajesh Ranaganth

• A Flow Artist for High-Dimensional Cellular Data. International Workshop on Machine Learning for Signal Processing (MLSP), 2023. Work by Kincaid MacDonald*, Dhananjay Bhaskar*,Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy

Workshops

• Do LLMs Lie About What They Use? Benchmark for Metacognitive Truthfulness in Large Language Models. Actionable Interpretability Workshop at ICML, 2025. Work by Nhi Nguyen*, Shauli Ravfogel, Rajesh Ranaganth

Education

• New York University, New York, NY. Candidate for Doctor of Philosophy in Data Science. Aug 2023 – Present

• Yale University, New Haven, CT. Master of Science in Computer Science. Bachelor of Science in Computer Science and Applied Mathematics. Summa Cum Laude. Aug 2019 – May 2023

Honors & Awards

• DeepMind Scholarship, 2023.
• Russell Henry Chittenden Prize, 2023.
• Phi Beta Kappa, 2022.