Justin Solomon, affiliate professor within the MIT Division of Electrical Engineering and Laptop Science (EECS), has been appointed affiliate dean of engineering training within the MIT Faculty of Engineering, efficient July 1.
On this new function, Solomon will deal with advancing innovation in engineering training throughout the college. He’ll assist form new pedagogical approaches within the context of an AI-enabled world and can discover experiential, hands-on, and different modes of studying. Working intently with tutorial departments, Solomon will function a thought companion in integrating AI into curricula and can assist facilitate interdisciplinary and shared instructing alternatives throughout departments and different colleges. He can even play a key function in serving to the college implement related suggestions from the Committee on AI Use in Educating, Studying, and Analysis Coaching.
Solomon will discover alternatives to construct {industry} collaborations, together with new fashions for internships and industry-engaged studying on campus. Collaborating with division heads and the Faculty of Engineering management crew, he can even assist college in designing new programs and evolving current packages to satisfy rising alternatives in engineering.
“Justin’s interdisciplinary method will likely be particularly helpful as we proceed to evolve engineering training to satisfy new alternatives and challenges. His intensive expertise making use of AI throughout a variety of domains will assist every tutorial division thoughtfully combine AI and new academic fashions into their curricula,” says Paula T. Hammond, dean of the Faculty of Engineering and Institute Professor. “I sit up for the imaginative and prescient and perspective he’ll convey to the college’s management crew.”
A devoted educator, Solomon has performed a central function in shaping computing training at MIT. He’s a key contributor to the Widespread Floor for Computing, the place he co-teaches the core class 6.C01 (Modeling with Machine Studying: From Algorithms to Purposes) with Regina Barzilay, the Delta Electronics Professor within the MIT Division of Electrical Engineering and Laptop Science and affiliate college member on the Institute for Medical Engineering and Science. Inside EECS, he teaches 6.7350 (Numerical Algorithms for Computing and Machine Studying) in addition to 6.8410 (Form Evaluation). He’s additionally the founding father of the Summer season Geometry Initiative, a six-week program that introduces college students to geometry processing by means of intensive coaching, collaboration, and analysis experiences.
Solomon’s dedication to instructing and serving to college students has been honored with varied awards, together with the EECS Excellent Educator Award and the Burgess (1952) and Elizabeth Jamieson Prize for Excellence in Educating. He’s the writer of “Numerical Algorithms,” a textbook that presents a contemporary method to numerical evaluation for pc science college students.
Solomon is a principal investigator at MIT’s Laptop Science and Synthetic Intelligence Laboratory (CSAIL), the place he leads the Geometric Knowledge Processing Group. His analysis sits on the intersection of geometry and computation, with purposes spanning pc graphics, autonomous navigation, political redistricting, bodily simulation, 3D modeling, and medical imaging. He’s additionally a core college member of the MIT-IBM Watson AI Lab, contributing to analysis that advances the foundations and purposes of synthetic intelligence.
His scholarly contributions have been acknowledged with quite a few distinctions, together with the 2023 Harold E. Edgerton College Achievement Award for distinctive contributions in instructing, analysis, and repair. In 2025, he was named a Schmidt Polymath, supporting interdisciplinary analysis throughout areas reminiscent of acoustics and local weather that depend on large-scale simulation of bodily methods.
Solomon joined the MIT college in 2016. He beforehand held an NSF Mathematical Sciences Postdoctoral Analysis Fellowship in Princeton College’s Program in Utilized and Computational Arithmetic. He earned his bachelor’s, grasp’s, and doctoral levels from Stanford College. Whereas learning at Stanford, he additionally labored as a analysis assistant at Pixar Animation Studios.
