Dr. Jinhui Xu investigates challenges and opportunities in the realms of algorithms, computational geometry, and machine learning. As a Professor in the Department of Computer Science and Engineering at the University at Buffalo, he is deeply engaged in exploring the intersections of differential privacy and geometric computing, particularly in the context of deep learning and biomedical applications. His work is characterized by a commitment to advancing the understanding and application of these complex fields. Dr. Xu earned his PhD in Computer Science and Engineering from the University of Notre Dame, where he laid the foundation for his distinguished career. Over the years, he has been recognized with several prestigious awards, including the UB Excellence in Graduate Student Mentoring Award and the NSF CAREER Award, underscoring his contributions to both academia and the broader scientific community. In addition to his research, Dr. Xu is dedicated to teaching and mentoring the next generation of computer scientists. He is actively involved in guiding students through the intricacies of computer science, fostering an environment where innovation and learning thrive. His mentorship has been instrumental in shaping the careers of many students, who have gone on to make significant contributions in their respective fields. Dr. Xu's research is not only theoretical but also has practical implications, particularly in the biomedical field. By integrating geometric computing with deep learning, he aims to develop solutions that can address real-world challenges, enhancing the capabilities of machine learning in processing and analyzing complex data sets. His work continues to push the boundaries of what is possible in computer science, making significant strides in both theoretical advancements and practical applications. Dr. Xu remains a pivotal figure in his field, contributing to the ongoing evolution of computer science through his innovative research and dedicated mentorship.