Joel Ye

NeuroAI PhD student

Say hello: joelye9 at gmail dot com

Bio

I am a PhD student in the Program in Neural Computation at CMU, advised by Robert Gaunt and Leila Wehbe. I research how deep learning systems can advance how we study brain data and build bi-directional brain-computer interfaces. If you're just getting started in this area and would like advice, feel free to reach out! My work is supported by the DOE CSGF fellowship.

In my Master's I researched embodied navigation with Dhruv Batra, Erik Wijmans, and Abhishek Das. I also worked on modeling neural data with Chethan Pandarinath.

I grew up in NYC, where I graduated from Stuyvesant High School, and I did my undergrad in Computer Science at Georgia Tech. During my undergrad, I was Director of Technology for Georgia Tech's hackathon org, HackGT, where we worked to host events to promote CS education.

Hobbies I make time for include reading (and I'm always open to recommendations) and studying Japanese and Chinese.


Projects

Neural Data Transformer 2

Joel Ye, Jennifer C. Collinger, Leila Wehbe, Robert Gaunt
NeurIPS (2023)

Neural Latents Benchmark

Felix Pei*, Joel Ye*, David Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath
NeuRIPS 2021, Datasets and Benchmarks

Auxiliary Tasks and Exploration Enable ObjectNav

Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans
ICCV 2021 | 2021 Habitat ObjectNav Challenge 1st place

Neural Data Transformers

Joel Ye, Chethan Pandarinath
NBDT (2021)

Auxiliary Tasks Speed Up Learning PointGoal Navigation

Joel Ye, Dhruv Batra, Erik Wijmans*, Abhishek Das*
CoRL, 2020