Dr. Robert Jakob

Research area

Robert Jakob is a postdoctoral researcher at the Chair of Information Management and Co-Director of the Agentic Systems Lab.

Previously, he completed a PhD in Applied Machine Learning at the Centre for Digital Health Interventions at ETH Zurich. During his doctoral studies, he focused on user churn prediction and prevention in digital health interventions using machine learning methods.

In developing churn prediction models, he has collaborated with public institutions and private companies, including the Federal Office of Public Health of the Swiss Confederation (BAG), the Federal Food Safety and Veterinary Office (BLV), the Swiss Research Institute for Public Health and Addiction (ISGF), the Geisel School of Medicine at Dartmouth College, Pathmate Technologies AG, and WayBetter Inc.

He has also conducted part of his research at Harvard University's John A. Paulson School of Engineering and Applied Sciences with Prof. Susan Murphys' Statistical Reinforcement Learning Lab and at the SEC Future Health Technologies Lab at the National University of Singapore (NUS).