Electrical Engineering & Computer Science
Name
Research Areas
Contact
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Yunha Hwang
Samual A. Goldblith Career Development Professor; Assistant Professor of EECS and the Schwarzman College of Computing617-253-9395Short Bio
Yunha Hwang is an incoming assistant professor (Fall 2025) in a shared position between Biology, EECS and the Schwarzman College of Computing. Previously, she served as the co-founder and CEO of Tatta Bio, a scientific nonprofit dedicated to advancing genomic AI for biology research. She holds a Ph.D. in Biology from Harvard, and a B.S. in Computer Science from Stanford University.
Research Summary
Microbial genomes encode the largest molecular, biochemical and functional diversity on Earth. The Hwang lab focuses on developing machine learning models and experimental approaches to discover and design novel microbial functions. We integrate computation with expertise in microbial evolution, ecology and biochemistry to characterize and harness the molecular potential of microbes.
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Ron Weiss
Professor of Biological EngineeringShort Bio
The Weiss Laboratory seeks to create integrated biological systems capable of autonomously performing useful tasks, and to elucidate the design principles underlying complex phenotypes. Cells sense their environment, process information, and continuously react to both internal and external stimuli. The construction of synthetic gene networks can help improve our understanding of such naturally existing regulatory functions within cells. Synthetic gene networks will also enable a wide range of new programmed cells applications. We use computer engineering principles of abstraction, composition, and interface specifications to program cells with sensors and actuators precisely controlled by analog and digital logic circuitry.
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Bruce Tidor
Professor of Biological Engineering and Computer Science617-253-7258Short Bio
Our research is focused on the analysis of complex biological systems at both the molecular level and the systems level. Our molecular work concentrates on the structure and properties of proteins, nucleic acids, and their complexes. Investigations probe the sources of stability and specificity that drive folding and binding events of macromolecules. Studies are aimed at dissecting the interactions responsible for the specific structure of folded proteins and the binding geometry of molecular complexes. The roles played by salt bridges, hydrogen bonds, side-chain packing, rotameric states, solvation, and the hydrophobic effect in native biomolecules are being explored, and strategies for re-casting these roles through structure-based molecular design are being developed.

