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.


  • Machine Learning
  • Optimal Transport
  • Single Cell Transcriptomics


  • 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


(2020). Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators. In IEEE MLSP.


(2020). TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics. In ICML.

Code Slides Video Arxiv ICML Page

(2020). Interpretable Neuron Structuring with Graph Spectral Regularization. In IDA.

PDF Code Slides Video DOI

(2019). Finding Archetypal Spaces Using Neural Networks. In IEEE Big Data.

PDF Code DOI Arxiv

(2018). Allocate-On-Use Space Complexity of Shared-Memory Algorithms. In DISC.