Thomas Y. Chen


I am an incoming first-year undergraduate student and Egleston Scholar at Columbia University in the Fu Foundation School of Engineering and Applied Science. Before Columbia, I was a high school student at the Academy for Mathematics, Science, and Engineering. I'm interested in computer vision, machine learning, and AI ethics. If you are interested in these things as well, let's chat!

chen.thomas [at]  /  Google Scholar  /  CV  /  Github  /  Linkedin

profile photo

My CS journey all started with Ethan Weber at MIT CSAIL (Torralba Computer Vision Lab) and Summer STEM Institute. Previously, I worked in Dr. Haimin Wang's group at the New Jersey Institute of Technology (NJIT) Center for Solar Terrestrial Research with then-PhD student Jiasheng Wang.

Progress and challenges in glacial lake outburst flood research (2017-2021): a research community perspective
Adam Emmer, Simon K Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y Chen, Simon J Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, Jacob C. Yde
Natural Hazards and Earth System Sciences (Preprint), 2022

Multi-Temporal Deep Learning-based Social Media Analysis for Disaster Relief
Thomas Y Chen
MobiSys, 2022
Paper  /  Poster

Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
Thomas Y Chen
NeurIPS Tackling Climate Change with Machine Learning Workshop, 2020   (Spotlight Oral Presentation)
Paper  /  arXiv  /  Video

MonarchNet: Differentiating Monarch Butterflies from Butterflies Species with Similar Phenotypes
Thomas Y Chen
NeurIPS AI for Earth Sciences Workshop, 2020
Paper  /  arXiv  /  Abstract  /  Poster

PreDefense: Defending Underserved AI Students and Researchers from Predatory Conferences
Thomas Y Chen
Proceedings of Machine Learning Research, 2021
Paper  /  arXiv

Selected Talks
Deploying AI for Climate Adaptation: A Spotlight on Disaster Management
Thomas Y Chen
Open Data Science Conference, April 2022
Scaling up AI for Confronting Climate Change
Thomas Y Chen
ML Conference Berlin, December 2021
Mitigating Dataset Biases for Inclusive, Deployable, and Accessible Artificial Intelligence Technologies
Thomas Y Chen
SIGGRAPH, August 2021
Deep Learning with Python for Natural Disaster Relief from Satellite Imagery
Thomas Y Chen
SciPy, July 2021
Convolutional Neural Networks for Damage Assessment and Disaster Relief
Thomas Y Chen
Machine Learning Week Europe, June 2021
Application-based Deep Learning with PyTorch
Thomas Y Chen
Open Data Science Conference, April 2021
AI and Sustainable Energy
Thomas Y Chen
Applied Machine Learning Days, April 2021
Unsupervised Category-Specific Mesh Reconstruction: A Future ML Opportunity
Thomas Y Chen
ML Conference Munich, April 2021
Deep learning-based remote sensing for infrastructure damage assessment
Thomas Y Chen
European Network for Earth System Modeling (Workshop on New Opportunities for ML and AI in Weather and Climate Modelling), March 2021
Interpretable Deep Learning Models for Humanitarian Disaster Relief
Thomas Y Chen
AAAI Spring Symposium: Leveraging Systems Engineering to Realize Synergistic AI/ML Capabilities, March 2021
Software Development Intern at Conatix

A few of my other interests from past to present:

  • Debate:
  • Languages: Check out translated versions of my site in 中文 and español.
  • Food:
  • Travel:

Source code from Jon Barron's website.