On March 24, 2023, Stefan Bauer from Helmholtz and TU Munich gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Neural Causal Models for Experimental Design.”

On March 24, 2023, Stefan Bauer from Helmholtz and TU Munich gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Neural Causal Models for Experimental Design.”

On March 20, 2023, Marko Ćosić from The University of Belgrade gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “Stewart’s Catastrophic Swing.”
On March 17, 2023, Olive Cawiding gave a talk on “Single-sample landscape entropy reveals the imminent phase transition during disease progression”, Liu R, Chen P, Chen L., Bioinformatics. 2020 Mar 1;36(5):1522-1532.
On March 15, 2023, Julio Saez-Rodriguez from Heidelberg University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Knowledge-based machine learning to extract disease mechanisms from multi-omics data.”

On March 13, 2023, Marko Ćosić from The University of Belgrade gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “The morphological analysis of the collagen straightness in the colon mucosa away from the cancer.”
On March 10, 2023, Martin Nowak from Harvard University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Evolution of cooperation.”

On March 10, 2023, Eui Min Jung gave a talk on “Antithetic Integral Feedback Ensures Robust Perfect Adaptation in Noisy Biomolecular Networks”, Briat, Corentin, Ankit Gupta, and Mustafa Khammash. Cell systems 2.1 (2016): 15-26.
On March 3, 2023, Shinya Kuroda from Tokyo University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “Systems Biology of Insulin Action.”

On March 03, 2023, Seho Park gave a talk on “Dynamical information enables inference of gene regulation at single-cell scale”, Zhang, Stephen Y., and Michael PH Stumpf., bioRxiv (2023): 2023-01.
On February 17, 2023, Hyeontae Jo gave a talk on “Characterizing possible failure modes in physics-informed neural networks”, Krishnapriyan, Aditi, et al., Advances in Neural Information Processing Systems 34 (2021): 26548-26560.