JACQUELINE R. M. A. MAASCH


                                  



Bio. I am an AI research scientist in New York City. I received my PhD in computer science at Cornell University, with a minor in applied probability and statistics. My doctoral research was supported by the NSF Graduate Research Fellowship, Cornell's Presidential Life Science Fellowship, and the Digital Life Initiative Doctoral Fellowship. During my PhD, I spent time at Microsoft Research, Boehringer Ingelheim, YRIKKA, and the Isaac Newton Institute for Mathematical Sciences at the University of Cambridge.

Research focus. I am interested in machine learning for reasoning and decision-making under uncertainty. This includes open problems in AI reasoning, causal inference, and reinforcement learning. I often approach these problems through the theoretical frameworks of probabilistic and causal graphical modeling. My full bibliography is on Google Scholar.

News.

05.2026 I will be presenting at ICML in Seoul this July, please reach out for a chat!
05.2026 I defended my doctoral dissertation: Causal Graphical Models in AI Reasoning & Expert Decision-Making.
03.2026 I am at the University of Cambridge until June, DM on LinkedIn if you'd like to meet.