Elena Glassman

Dr. Elena Glassman has contributed extensively to the fields of data science and computer science, with a particular focus on coding and scalable systems. Currently, she serves as an Assistant Professor of Computer Science at the University of California-Berkeley, where she is also affiliated with the Radcliffe Institute for Advanced Study as a Stanley A. Marks & William H. Marks Professor. Her academic journey began with an EECS PhD from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), where she honed her expertise in designing systems for code analysis and visualization. Before her current appointment, Dr. Glassman was a BIDS Data Science Fellow and an EECS postdoctoral researcher at the Berkeley Institute of Design. Her research during this period was pivotal in advancing the understanding of how scalable systems can be employed to enhance code analysis. Additionally, she expanded her research horizons as a visiting researcher at Stanford University's Biomimetics and Dextrous Manipulation Lab, where she explored the intersection of robotics and computer science. Dr. Glassman's work is characterized by its interdisciplinary approach, bridging gaps between data science, computer science, and coding. Her contributions have been recognized in various academic circles, and she continues to push the boundaries of what is possible in her field. Her research interests are deeply rooted in the development of innovative systems that not only analyze but also visualize complex code structures, making her a leading figure in her domain. At the University of California-Berkeley, Dr. Glassman is committed to fostering a collaborative environment where students and researchers alike can thrive. Her dedication to teaching and mentorship is evident in her active engagement with students, guiding them through the intricacies of computer science and data science. Through her work, she aims to inspire the next generation of computer scientists to explore new frontiers in technology and innovation.