Rashid Md Mamunur, PhD
Md. Mamunur Rashid received his Ph.D. in Bioinformatics and System Biology from the Kyushu Institute of Technology, Japan. His dissertation research focused on design principles and modeling of circadian clock systems to understand the robustness mechanism of circadian antiphase oscillators to the day-night cycle. Prior to joining the team, BII, A*STAR, he worked as a bioinformatics post-doctoral researcher in the laboratory of Drug discovery by AI and big data in Kyutech, where he applied his background in statistics, probability theory, and algorithms to computational challenges in biology. In particular, he has worked on the application of statistical machine learning and deep learning approaches to integrative modeling of heterogeneous multi-omics data to identify biologically relevant data-driven new biomarkers to improve cardiovascular disease diagnosis and treatment strategies. He has years of experience in writing and editing manuscript for publication in international journals in English.
Mathematical modeling, nonlinear dynamics, computational biology, algorithm development, multi-omics modeling, biomarker discovery, numerical simulation, circadian rhythms, and bioinformatics.