On April 7, 2023, George Karniadakis from Brown University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “BINNS: Biophysics-Informed Neural Networks.”

On April 7, 2023, George Karniadakis from Brown University gave an online talk at the IBS Biomedical Mathematics Colloquium. The title of his talk was “BINNS: Biophysics-Informed Neural Networks.”

On April 07, 2023, Yun Min Song gave a talk on “The ups and downs of biological oscillators: A comparison of time-delayed negative feedback mechanisms”, Rombouts, Jan, Sarah Verplaetse, and Lendert Gelens., bioRxiv (2023)

On March 27, 2023, Sungwoong Cho from KAIST gave a talk at the IBS Biomedical Mathematics Seminar. The title of his talk was “HyperDeepONet: learning operator with complex target function space using the limited resources via hyper network”
On March 24, 2023, Candan Celikgave a talk on “The effect of microRNA on protein variability and gene expression fidelity”, Hilfinger, Andreas, and Raymond Fan., Biophysical journal 122.3 (2023): 537a.
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 the 18th at 11 a.m., CI Jae Kyoung Kim gave a public lecture titled, ‘The Usefulness of Mathematics! The Beautiful Encounter of Mathematics, Medicine, and Life Sciences,’ at the ‘2023 World Maths Day, Mathematics for All’ event.
3월 18일 오전 11시, CI 김재경 교수님이 부산수학문화관에서 열린 ‘2023년 세계 수학의 날, 모두를 위한 수학’ 행사에서 ‘수학의 쓸모! 수학과 의학, 생명과학의 아름다운 만남’을 주제로 수학 대중화에 대해 강연했습니다.
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.”
