Dr. Ahn gave lectures on reinforcement learning and Bayesian modeling with hBayesDM at the Computational Psychiatry Course in Zürich, which was held on September 10-14, 2018. All codes and slides are available online.
Dr. Ahn received a five-year grant (2018-2023), supported by the Basic Science Research Program through the National Research Foundation (NRF) of Korea. The grant will provide fund for setting up the lab and support the development of highly rapid and reliable multi-modal markers of addiction using machine learning and computational methods. Congratulations!
Dr. Ahn is invited to give a lecture on reinforcement learning on Sep 12, 2018, and a 3hr practical course on computational modeling including a demonstration of the hBayesDM package on Sep 14, 2018 at the Computational Psychiatry Course, which is organized by the Translational Neuromodeling Unit (TNU), Zürich. The 3hr practical course on 9/14 (Friday) will briefly cover the “nuts and bolts” of building and evaluating mathematical models of cognition. In a progressive way, I will teach how to program codes and fit the same computational models with maximum likelihood estimation (MLE), hierarchical Bayesian parameter estimation using Stan, and finally hBayesDM. Through the practical course, participants will learn the pros and cons of each method and how to apply the methods to their research projects.
Our lab is selected to participate in the Seoul Science High School Research & Education (R&E) program in 2018. Talented high school students at the Seoul Science High School will work with graduate students and Dr. Ahn in the CCS Lab to build computational models of cognition and apply machine learning algorithms to multi-modal neuroimaing data. We look forward to working with you!
Dr. Ahn has been selected as a 2017 Rising Star in the Association for Psychological Science (APS)! The Rising Star designation is “presented to outstanding psychological scientists in the earliest stages of their research career post-PhD whose innovative work has already advanced the field and signals great potential for their continued contributions.”