Jason Eshraghian
Assistant Professor at University of California, Santa Cruz
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJason Eshraghian is an assistant professor and neuromorphic engineer who translates neuroscience principles into hardware and learning algorithms, leading the Neuromorphic Research Computing Group at UC Santa Cruz. With a PhD in Electrical and Electronic Engineering and seven years of academic experience spanning a Michigan postdoc and multiple international fellowships (Forrest, Fulbright, Endeavour), he bridges chip design, spiking neural networks, and software tooling. He is the developer of snnTorch and contributes performance-focused improvements—such as optimized MNIST dataloaders—demonstrating attention to practical, efficient ML pipelines. Beyond academia he has a creative background in film direction and photography, reflecting an experimental, multidisciplinary approach to problem solving.
7 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BEng) & Bachelor of Laws (LLB), Electrical and Electronics Engineering, Bachelor of Engineering (BEng) & Bachelor of Laws (LLB), Electrical and Electronics Engineering at The University of Western Australia
English, Persian
Github Skills (7)
data-preprocessing10
data-loading10
pytorch10
machine-learning10
dataprep10
preprocessing10
preprocess10
Programming languages (3)
Github contributions (5)
jeshraghian/snntorch
Sep 2020 - Jan 2023
Deep and online learning with spiking neural networks in Python
Role in this project:
ML Engineer
ML EngineerContributions:7 releases, 10 reviews, 835 commits in 2 years 4 months
Contributions summary:Jason updated the MNIST dataloader to incorporate subsampling techniques, which suggests a focus on improving the efficiency or functionality of data handling. This likely involves modifications to the data loading pipeline, specifically to a `snntorch.py` file, indicating improvements or modifications within the core SNN library to better handle the MNIST dataset. This may have involved optimizing data loading.
pytorchspiking-neural-networksneurosciencepythondeep-learning
conda-forge/snntorch-feedstock
Nov 2021 - Feb 2025
A conda-smithy repository for snntorch.
Contributions:19 PRs, 16 pushes, 1 comment in 3 years 3 months
condasmithy
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.