Hello! I’m a 6th-year PhD student at the Princeton Neuroscience Institute, currently working with Ken Norman. I am interested in building neural network models that shed light on learning dynamics and representational change in the hippocampus and in deep neural networks. I am also interested in generative modelling of fMRI data. Here is my CV.

Publications

Data coarse graining can improve model performance

Published at Physical Review E.

Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn (2026).

Generalization vs. Specialization under Concept Shift

Published at the 39th Conference on Neural Information Processing Systems (NeurIPS).

Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn (2025).

Differential learning kinetics govern the transition from memorization to generalization during in-context learning

Published at the Thirteenth International Conference on Learning Representations (ICLR). Spotlight Paper.

Alex Nguyen, Gautam Reddy (2025).

Differentiation and Integration of Competing Memories: A Neural Network Model

Accepted as a Reviewed Preprint at eLife.

Victoria J. H. Ritvo, Alex Nguyen, Nicholas B. Turk-Browne, Kenneth A. Norman (2024).

Inducing representational change in the hippocampus through real-time neurofeedback

Kailong Peng, Jeffrey D. Wammes, Alex Nguyen, Coraline Rinn Iordan, Kenneth A. Norman, Nicholas B. Turk-Browne (2024)

Reconstructing the Mind’s Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Published at the 37th Conference on Neural Information Processing Systems (NeurIPS).

Paul S. Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster, Nathalie Verlinde, Elad Yundler, David Weisberg, Kenneth A. Norman, Tanishq Mathew Abraham (2023)

Learning Renormalization with a Convolutional Neural Network

Published in Machine Learning for the Physical Sciences, 2019, a workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS).

Alex Nguyen, Kiel Howe (2019).