Angad S. Rekhi joined NVIDIA Research in 2021 as a member of the Circuits Research Group. His current research interests include package-level photonics, next-generation signaling systems, and machine learning acceleration.
Angad received the B.S. degree in electrical engineering from Caltech in 2014 and the M.S. and Ph.D. degrees in electrical engineering from Stanford in 2016 and 2020, respectively. From 2012 to 2014, he worked with Prof. Ali Hajimiri at Caltech, where he designed and tested integrated electronic-photonic systems. In the summer of 2018, he worked with the Circuits Research Group, NVIDIA Research, where he designed analog/mixed-signal hardware for machine learning. His thesis work with Prof. Amin Arbabian at Stanford involved ultrasound-enabled wireless connectivity for next-generation IoT devices. His work at Stanford also included the investigation of a novel form of neurostimulation. He was a recipient of the NSF GRFP in 2014, the NDSEG Fellowship in 2016, the ADI Outstanding Student Designer Award in 2014 and 2018, and the IEEE SSCS Predoctoral Achievement Award in 2019.