Jason K. Eshraghian is an Assistant Professor with the Department of Electrical and Computer Engineering, University of California, Santa Cruz. He received the Bachelor of Engineering (Electrical and Electronic) and the Bachelor of Laws degrees from The University of Western Australia, WA, Australia, in 2016, where he also received the Ph.D. Degree in 2019. From 2019 to 2022, he was a Post-Doctoral Research Fellow at the University of Michigan, MI, USA. He serves as the Secretary of the Neural Systems and Applications Technical Committee and as an Associate Editor for APL Machine Learning.

He was awarded the 2023 IEEE Transactions on Circuits and Systems Darlington Best Paper Award, the 2019 IEEE Very Large Scale Integration Systems Best Paper Award, the Best Paper Award at the 2019 IEEE Artificial Intelligence Circuits and Systems Conference, and the Best Live Demonstration Award at the 2020 IEEE International Conference on Electronics Circuits and Systems for his work in neuromorphic computing. He is the recipient of a Fulbright Fellowship (Australian-American Fulbright Commission), a Forrest Research Fellowship (Forrest Research Foundation), and the Endeavour Research Fellowship (Australian Government).

His research interests include neuromorphic computing, spiking neural networks, and memory circuits, and he is the developer of snnTorch, a widely used Python library used to train and model spiking neural networks.