2025-2026 Tayebati Fellows - MIT Schwarzman College of Computing

The Tayebati Postdoctoral Fellowship Program at MIT, sponsored by the Schwarzman College of Computing with support from Parviz Tayebati, focuses on AI for addressing the most challenging problems in select scientific disciplinary areas, and on AI for music composition and performance. The program concentrates on work that brings cutting-edge AI to bear on research in scientific discovery or music, to advance both the research area and the development of relevant AI methods. Each fellow will have a faculty mentor in the disciplinary area as well as in AI.

Congyue Deng

Congyue Deng completed her PhD in Computer Science at Stanford University. Her faculty mentors are Jesse Thaler (Physics) and Kaiming He (EECS).

Her research interests include 3D computer vision and geometric deep learning. Her work focuses on designing feature representations for visual understanding that incorporate symmetries and geometric relations. She received her BS in Mathematics from Tsinghua University in 2020 with the top GPA in her class (1/114). She is also a recipient of the CPAL Rising Star Award in 2025.

Berthy Feng

Berthy Feng completed her PhD in Computing and Mathematical Sciences at Caltech. Her faculty mentors are Mike Williams (Physics) and Bill Freeman (EECS).

While receiving her PhD, she was advised by Katie Bouman. She received her undergraduate degree in Computer Science at Princeton University. Berthy works on computational imaging, computer vision, and machine learning. She is primarily interested in developing data-driven and physics-based methods for scientific imaging. Berthy grew up in the suburbs of Cleveland, Ohio, and enjoys playing guitar, playing tennis, and going for runs in her free time.

Gokul Gowri

Gokul Gowri completed his PhD at Harvard in Systems, Synthetic, and Quantitative Biology. His faculty mentors are Jonathan Weissman (Biology) and Stephen Bates (EECS).

He builds computational and statistical tools to better understand living systems. At Harvard, he worked closely with Peng Yin and Allon Klein on problems related to information theory, representation learning, and single-cell genomics. Some of his other interests include watching WNBA, making playlists, and running/biking to Italian chain restaurants.

Emily Oliphant

Emily Oliphant completed her PhD in Materials Science and Engineering and Scientific Computing at the University of Michigan. Her faculty mentors are Jeff Grossman, (Materials Science and Engineering) and Tess Smidt (EECS).

During her PhD, she was co-advised by Wenhao Sun and Emmanouil Kioupakis. She received her BS in Physics from Idaho State University in 2020, where she worked in particle physics at the Idaho Accelerator Center before shifting her focus to materials physics. Emily grew up in Eastern Idaho and enjoys music, hiking through remote terrain, and stargazing.

Jonas Rein

Jonas Rein completed his PhD in Organic Chemistry at Cornell University. His faculty mentors are Masha Elkin (Chemistry), Connor Coley (Chemistry), and Stephen Bates (EECS).

Jonas was born in Germany and grew up in Mainz, where he completed his BS in Chemistry at Johannes-Gutenberg University in 2019, working with Siegfried Waldvogel on the electrochemical oxidation of arenes. During his PhD, he worked closely with Song Lin on organic redox chemistry and supported by an ERP fellowship.