Recent Publications

(2019). Local Aggregation for Unsupervised Learning of Visual Embeddings. ICCV 2019, Oral presentation, Best Paper Award Nomination.

PDF Code

(2018). Flexible Neural Representation for Physics Prediction. NeurIPS 2018.

PDF

(2017). Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System. NIPS 2017, Oral presentation.

PDF Code Video

(2017). Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons. Frontiers in Computational Neuroscience.

PDF

Teaching

I am a teaching assistant for the following courses at Stanford:

  • PSYCH251: Experimental Methods, Autumn 2019
  • PSYCH249 / CS375: Large-Scale Neural Network Models for Neuroscience, Autumn 2018
  • PSYCH253: High-Dimensional Methods for Behavioral and Neural Data, Spring 2018, Spring 2019