About Me


My first name is Thomas, but most people call me by my middle name – Andy. I’m currently a PhD student supervised by Max Welling at the University of Amsterdam. My work is focused on developing new methods for robust and generalizable respresentation learning with minimal supervision. I take inspiration from a geometric understanding and biological observations whenever possible. My research interests broadly include: Probabilistic Generative Models, Equivariant Representations, & Biologically Inspired Algorithms

Find my full C.V. here

Education (click to expand)

Ph.D. Machine Learning (2018 - expected 2022) University of Amsterdam Supervisor: Max Welling
Focus: Probabilistic Generative Models, Equivariance, Biologically Inspired Algorithms
M.S. Computer Science (2015 - 2017) University of California San Diego Supervisor: Garrison Cottrell
Thesis: Comparison and Fine-grained Analysis of Sequence Encoders for Natural Language Processing
B.S. Computer Science w/ Honors (2011 - 2015) California Institute of Technology Supervisor: Yasser Abu-Mostafa


Intel Nervana AI Lab (2016 - 2018)
  • Deep Learning Data Scientist (Sept. 2017 - Sept. 2018)
  • Algorithms Engineer Intern (June 2016 - June 2017)
Data Science for Social Good (Summer fellow 2015)
Lyve Minds Inc. (Analytics Engineering Intern Summer 2014)
  • Developed supervised learning algorithm for automatic editing and summarization of user generated handheld video based on predicted level of interest.
California Institute of Technology (Undergraduate Researcher 2012)


Master’s Thesis Supervision

  • Samarth Bhargav: Geometric Priors for Disentangling Representations
  • Noah van Grinsven: Spatio-Temporal Forecasting On Graphs With Incomplete Data (ongoing)
  • Fiorella Wever: Predicting contraceptive changes and discontinuation using large-scale data from a menstrual cycle tracking mobile application (ongoing)

As Teaching Assistant

  • Leren (Bachelor’s Machine Learning)
  • Machine Learning 2 (Second Year Master’s)
  • Data Visualization (D3.js)


Privately, I enjoy cooking (working on my vegan tacos), running, and playing with my gymnastics rings. I am also an active organizing member of the Inclusive AI group at the UvA whose goal is to reduce harmful bias (both algorithmic and human) in the field of machine learning. Please feel free to email me if you have any questions!

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