Akshaye Shenoi is a doctoral student at ETH Zurich where he is supervised by Prof. Dr. Elgar Fleisch and Prof. Dr. Tobias Kowatsch. Based out of Singapore at the Singapore-ETH Centre (SEC), he will focus on designing sensing systems for smartphones and wearables that aim to detect chronic health conditions like subclinical depression.
Akshaye holds a Master’s degree in Computer Science from the National University of Singapore (NUS). His academic background encompasses systems research, machine learning, and signal processing. During his tenure as a researcher at NUS, he worked towards enhancing the reliability, security, and privacy of low-powered wireless sensor devices. He also worked as a Software Engineer at General Electric before.
Presently, his research is centered around the application of machine learning algorithms to health data collected from sensors. His ultimate objective is to develop non-invasive and ubiquitous health-sensing systems that promote health longevity and improve mental well-being.