About Me

Hi! I’m a first year PhD student 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

• AMPNet: Attention as Message Passing for Graph Neural Networks. Preprint. Oct 2022. Work by Syed Asad Rizvi*, Nhi Nguyen, Haoran Lyu, Benjamin Christensen, Josue Ortega Caro, Antonio H. O. Fonseca, Emanuele Zappala, Maryam Bagherian, Christopher Averill, Chadi G. Abdallah, Rex Ying, Maria Brbic, Rahul Madhav Dhodapkar, David van Dijk

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.