Two EECS faculty members were honored in the Forbes 30 Under 30 in Science 2017 list that showcases America’s most important young scientists, entrepreneurs, thinkers, and leaders.
Stefanie Mueller, Assistant Professor in EECS as of January 2017, focuses on the computer science of “physical Data,” such as that involved in 3D printing. She is the conference General Co-Chair at the ACM SIGGRAPH Symposium on Computational Fabrication 2017. Mueller received her PhD in human-computer interaction (HCI) from the Hasso Plattner Institute in 2016, where she also received an MS in IT-systems engineering. In her research, Mueller develops novel interactive hardware and software systems that advance personal fabrication technologies. Her work has been published at the most selective HCI venues — Association for Computing Machinery (ACM), the Conference for Human Factors in Computing Systems (CHI), and User Interface Software and Technology (UIST) — and received a best paper award and two best-paper nominees. Mueller is an associate chair of the program committees at ACM, CHI, and UIST, and is a general co-chair for the ACM SIGGRAPH Symposium on Computational Fabrication that will take place at MIT in June 2017. She has been an invited speaker at MIT, Stanford, the University of California at Berkeley, Harvard, Carnegie Mellon University, Cornell University, Microsoft Research, Disney Research, Adobe Research, and others. In addition, her work has been covered widely in New Scientist, BBC, The Atlantic, and The Guardian. Mueller will head the HCI engineering group at MIT's Computer Science and Artificial Intelligence Laboratory, which works at the intersection of human-computer interaction, computer graphics, computer vision, and robotics.
Justin Solomon, Assistant Professor in EECS, researches geometric problems in computer graphics, computer vision and machine learning. Co-inventor of three patents, he also spent five years doing computer research for Pixar, developing new algorithms for image processing in movies. Solomon earned his MS and PhD in computer science from Stanford University, where he also earned a BS in mathematics and computer science. Solomon is a past recipient of the Hertz Foundation fellowship, a National Science Foundation graduate fellowship, and the National Defense science and engineering graduate fellowship. His research focuses on geometric problems appearing in shape analysis, optimization, and data processing, with application in computer graphics, medical imaging, machine learning, and other areas. He taught classes on numerical analysis, computational differential geometry, and computer science at Stanford. His textbook, Numerical Algorithms, was released in 2015 (CRC Press).
Read the full list of Forbes 30 Under 30 in Science 2017.