Tess E. Smidt

Tess E. Smidt is an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT. She serves as Principal Investigator of the Atomic Architects research group and is affiliated with the MIT Research Laboratory of Electronics. Her work focuses on developing geometric deep learning frameworks for materials science and chemistry. She holds the X-Window Consortium Professor title and is part of the AI+D, CS, and EE faculty leadership.

• Office: 36-647K
• Website: [MIT profile link]

Research interests include applying machine learning to electronic/magnetic materials, quantum devices, and molecular property prediction. She actively bridges AI advancements with materials discovery through projects like equivariant vision models and geometric neural network architectures.

Recent professional activities include organizing workshops for underrepresented genders in EECS and receiving Transformative Research Fund support for applying generative AI to societal challenges. Upcoming engagements include speaking at CVPR 2025 (June), the NYC Summit for ML in Chemistry (June), and multiple materials science conferences in 2025.

• Grants: Inaugural Transformative Research Fund recipient (2024)

Advises a team of undergraduate and graduate researchers exploring machine learning applications in materials classification and quantum systems. Leads the Atomic Architects lab pioneering geometric deep learning methods.