Resume (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 @ Parrot Drones, 2019
- Machine Learning & Computer Vision Intern @ Cleed, 2018
- 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.
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Content Developer for the Python bootcamp session for the DL@MBL: Deep Learning for Microscopy Image Analysis course at Marine Biological Laboratory, Woods Hole, Massachusetts, 2021.Materials
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Content Developer for BMED 6517 Machine Learning in Biosciences at Georgia Tech, 2021.
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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, NeurIPS 2021 & 2022
- Computer Vision and Pattern Recognition, CVPR 2023
- Learning on Graphs Conference, LOG 2022
- Artificial Intelligence and Statistics, AISTATS 2021
- IEEE Transactions on Knowledge and Data Engineering, 2023
- Cell Patterns, 2022
- Sub-reviewer for Neuron, 2021
- I was privileged to work with and mentor a group of outstanding students at Georgia Tech:
- Venkataramana Ganesh, 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: Python.
- ML frameworks: PyTorch, PyG (PyTorch Geometric), jax.
- Favorite tools: Bokeh, Flask, Docker, TensorBoard.
- Favorite tools: Illustrator, After Effects
- Designed a logo (with colorful variants) for the Neural Data Science (NeRDS) Lab at Georgia Tech.
- Designed this website using Bulma elements, icons from Font Awesome, and netlify for hosting. Javascript written with the help of ChatGPT and art generated using DALL·E 2. Code can be found here.
