About Me

Alex is a second year computer science phd student at Yale University. His research interests are in machine learning and algorithms. Currently, he is working on structuring latent representations using ideas from graph theory and deep learning in the Krishnaswamy Lab advised by Smita Krishnaswamy.

Interests

  • Machine Learning
  • Optimal Transport
  • Single Cell Transcriptomics

Education

  • PhD in Computer Science focus on Machine Learning, 2017-Present

    Yale University

  • MS in Computer Science, 2017

    Tufts University

  • BS in Computer Science, 2017

    Tufts University

Publications

Alexander Tong, Guy Wolf, Smita Krishnaswamy (2020). Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators. In IEEE MLSP.

Arxiv

Alexander Tong, Jessie Huang, Guy Wolf, David van Dijk, Smita Krishnaswamy (2020). TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. In ICML.

Code Slides Video Arxiv ICML Page

Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy (2020). Interpretable Neuron Structuring with Graph Spectral Regularization. In IDA.

PDF Code Slides Video DOI

David van Dijk, Daniel B. Burkhardt, Matthew Amodio, Alexander Tong, Guy Wolf, Smita Krishnaswamy (2019). Finding Archetypal Spaces Using Neural Networks. In IEEE Big Data.

PDF Code DOI Arxiv

James Aspnes, Bernhard Haeupler, Alexander Tong, Philipp Woelfel (2018). Allocate-On-Use Space Complexity of Shared-Memory Algorithms. In DISC.

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