Hang Yuan

I was born and raised in China and am fortunate to have studied and worked in North America and Europe since high school at places like Carnegie Mellon University, EPFL, Max Planck Institute for Intelligent Systems (Tuebingen) and Jacobs University. I am a machine learning researcher by background and a neuroscientist in training. I have keen interests in developing machine learning methodologies that can be used in the neuroscience/healthcare settings. Previously, my work has been focused on using machine learning methods on the one hand to understand neural processes and on the other hand decode brain signals for brain-computer-interfaces. I have also worked on AI safety/ethics line of work in deep learning applications which can also be potentially used in various healthcare settings e.g. reduction of model bias and robust decision support.

I am currently using machine learning techniques for wearables to better understand physical activities and sleep as well as their roles in various diseases such as cardiovascular diseases and metabolic diseases. I am part of NDPH now and my supervisors are Aiden Doherty and Simon Kyle.