Alisha Menon

I am currently founding a medical device startup developing wireless, AI-enabled patient monitoring devices for both remote and in-hospital settings, starting with the neonatal ICU for preterm babies. I completed my Ph.D. in 2022 in Electrical Engineering & Computer science at University of California: Berkeley in Professor Jan Rabaey's research group after receiving my B.S. in Electrical Engineering from Arizona State University in 2018.

My research explored integrated circuits for in-sensor processing, learning and recognition of physiological signals, states and processes. I focused on designing hardware for machine learning specifically for biosignals, enabling multi-layer feedback systems with complex intelligence, shown with a multi-modal neural prosthetic. I led an interdisciplinary team with over 11 undergraduate/masters students to delve into various projects under this topic, resulting in 7 first-author publications. For my work, I was awarded the NSF Fellowship, UC Berkeley Fellowship, UC Berkeley Outstanding Graduate Mentor Award (first awardee from the college of engineering), IEEE BioX Data Science and Engineering in Medicine and Biology Fellowship, and Rising Star in EECS.

Outside of research, I was a hardware engineer intern with CTRL-Labs in 2018 (acquired by Meta in 2019) and with Apple in 2021 where I worked on an energy-efficient machine learning architecture for a novel sensor application. My current work on a medical device startup, Aurelia Vitals, aims to bring innovations in wireless biosensors and biosignal analytics to real-time patient monitoring. This work is being done in collaboration with the Texas Medical Center and Rice University, with support from NSF and the Southwest Pediatric Device Consortium.

My other interests include the performing arts - specifically the intersection of Indian Classical Dance with modern stories and with Western theater. I also enjoy climbing, yoga, swimming, tennis and kickboxing.