Computer Science Candidate Talk

Title: Machine Learning and Optimization Algorithms for Exploring Biomolecular Interactions

Abstract: Computational prediction of intra- and intermolecular interactions is crucial for understanding biological processes. In this talk, I will introduce my research on developing optimization and machine learning-based methods for protein structure modeling, intra-protein interaction estimation, and interprotein interaction interface prediction. Then, I will discuss my ongoing research on extending the scope of interprotein interactions to the prediction of protein-other molecular interactions. Finally, I will outline my vision for future research and collaboration aimed at benefiting the broader scientific community and the health sector through advancing cutting-edge computational techniques.

Bio: Rahmatullah Roche is a Ph.D. candidate in the Computer Science Department at Virginia Tech, advised by Prof. Debswapna Bhattacharya. He is a recipient of the prestigious Pratt Fellowship at Virginia Tech. He earned a Master of Science degree from the Computer Science and Software Engineering Department at Auburn University and a Bachelor of Science from the Computer Science and Engineering Department at Bangladesh University of Engineering and Technology (BUET). Before his current academic pursuit, he served as a Lecturer in the Computer Science and Engineering Department at Eastern University, Dhaka.
His interests primarily lie in Artificial Intelligence, Applied Machine Learning, and Computational Biology. His work has been published in reputable journals such as Nucleic Acids Research (NAR), Proceedings of the National Academy of Sciences (PNAS), PLOS Computational Biology, PROTEINS, and Springer Nature. He actively promotes the availability of scientific software, source code and data to benefit the academic community.