ADAMMA - Core for AI & Digital Biomarker Research

Kaicheng Zhao is a master’s thesis student at the Center for Digital Health Interventions at ETH Zurich. His current research focuses on developing deep learning models for voice pathology detection to enhance non-invasive diagnostic technologies.

He is pursuing an M.Sc. in Robotics at RWTH Aachen University, where he has worked on multiple AI-driven projects spanning computer vision, deep learning, and robotics. Prior to his master’s thesis at ETH Zurich, his internship as a Computer Vision Research Engineer at the Centre for Brain Inspired Computing Research, Tsinghua University, deepened his understanding of real-world applications of deep learning.

Search for Kaicheng Zhao's papers on the Research page