Matt Jacobs

Professor innovating in the area of mathematical sciences, Matt Jacobs is an Assistant Professor in the Department of Mathematics at the University of California, Santa Barbara. With a Ph.D. in Mathematics from the University of Michigan, earned in 2017, Professor Jacobs has established himself as a leading figure in several cutting-edge research domains. His work primarily focuses on the calculus of variations, optimization, and numerical methods, where he seeks to develop new techniques and solutions to complex mathematical problems. Professor Jacobs is particularly interested in the study of partial differential equations (PDEs) and optimal transport, areas that are crucial for understanding a wide range of phenomena in both natural and applied sciences. His research on free boundary problems has contributed significantly to the field, offering insights into how boundaries evolve in various physical systems. Additionally, his exploration of adversarial learning bridges the gap between theoretical mathematics and practical applications in machine learning, providing innovative approaches to tackling challenges in this rapidly evolving field. At UCSB, Professor Jacobs is dedicated to fostering a collaborative research environment, mentoring students, and engaging with the broader academic community. His commitment to advancing mathematical knowledge is reflected in his numerous publications and presentations at international conferences. Through his work, he continues to push the boundaries of what is possible in mathematics, inspiring the next generation of mathematicians to explore new frontiers.