Dr. Hao Zhu holds a Doctor of Philosophy in Computer Science from the University of Miami. His primary research interests lie in computational bioinformatics, with a specialized focus on developing computational algorithms for three-dimensional DNA structure reconstruction using Hi C chromatin interaction data. His scholarly work centers on designing and implementing machine learning pipelines to predict genomic and epigenetic regulatory profiles from high-throughput chromatin data, as well as constructing deep learning models to enhance the resolution and quality of Hi C contact maps. In teaching, he has instructed a broad range of undergraduate and foundational computing courses, including introductory and advanced programming, data structures, computer networks and data communication, software engineering, and advanced algorithm. His professional expertise encompasses large-scale scientific data analysis, computational algorithm for three-dimensional genome modeling, and end-to-end machine learning model development utilizing the PyTorch framework.