Akshaye Shenoi is a PhD candidate at ETH Zurich, based out of the Singapore-ETH Centre. His research aims to develop ubiquitous sensing systems that can enhance precision assessment of psychiatric disorders such as Major Depressive Disorder (MDD). He earned his MS in Computer Science from the National University of Singapore and his academic background spans systems research, machine learning, and signal processing. In the past, he has worked towards enhancing the reliability and privacy of low-powered wireless sensor devices. His long term goal is to develop non-invasive and ubiquitous health-sensing systems that can promote health longevity and improve mental well-being.

Akshaye’s personal website