(Last updated: 12/09/2022)
Ph.D. in Machine Learning, Georgia Tech 🇺🇸, 2020-Present
M.S. in Computer Science, Georgia Tech 🇺🇸, 2018-2020
M.S. in Engineering, CentraleSupélec 🇫🇷, 2016-2019
Deep Learning Intern @
Machine Learning & Computer Vision Intern @
Co-Instructor for the
representation learning hands-on session
during the Caltech/Chen Institute’s
Data Science and AI for Neuroscience Summer School
, Pasadena, California, 2022.
Content Developer for the
Python bootcamp session
DL@MBL: Deep Learning for Microscopy Image Analysis
course at Marine Biological Laboratory, Woods Hole, Massachusetts, 2021.
Content Developer for BMED 6517
Machine Learning in Biosciences
at Georgia Tech, 2021.
Teaching Assistant for CS 4261
Mobile applications and Services
at Georgia Tech, Spring 2019.
I have served as a reviewer for notable conferences and journals:
Neural Information Processing Systems,
Computer Vision and Pattern Recognition,
Learning on Graphs Conference,
Artificial Intelligence and Statistics,
Transactions on Knowledge and Data Engineering, 2023
I was privileged to work with and mentor a group of outstanding students at Georgia Tech:
, Master's in CS, 2022-2023
Michael Mendelson, Undergrad in BME, 2021-2022
Carolina Urzay, Undergrad in BME, 2021-2022
Zijing Wu, Undergrad in CS / Math, 2020-2021
Main Programming Language:
PyG (PyTorch Geometric)
Designed a logo (with colorful variants) for the Neural Data Science (NeRDS) Lab at Georgia Tech.
Designed this website using
elements, icons from
and art generated using
. Code can be found