Michael Rosenthal
About Michael Rosenthal
Michael Rosenthal is a PhD student at Stanford and a Member of Technical Staff, soon to join Princeton as an assistant professor.
Michael Rosenthal Title and Role
Michael Rosenthal is currently a Member of Technical Staff and a PhD student at Stanford University. His research is conducted under the guidance of co-advisors Stefano Ermon and Chris Re. Rosenthal's work focuses on the intersection of machine learning and systems, emphasizing efficient training and long-range context. Next year, he will be joining Princeton University as an assistant professor.
Michael Rosenthal Education and Expertise
Michael Rosenthal is pursuing his PhD at Stanford University, one of the leading institutions for advanced research in science and technology. He is co-advised by Stefano Ermon, known for his contributions to machine learning, and Chris Re, recognized for his work in systems and data management. Rosenthal's research concentrates on the innovative realm of machine learning, particularly in the areas of efficient training and long-range context.
Michael Rosenthal Research Focus
Michael Rosenthal's research sits at the intersection of machine learning and systems. His current focus areas include developing methods for efficient training in machine learning and exploring long-range context applications. This work strives to enhance the effectiveness and efficiency of machine learning models and systems integration.
Future Role at Princeton University
Michael Rosenthal has announced that he will be joining the faculty at Princeton University as an assistant professor next year. This new role will allow him to continue his research while contributing to the academic community through teaching and mentoring students in machine learning and systems.