Our study of the theoretical foundations of computing spans algorithm design and analysis, complexity, optimization, cryptography, quantum and more.
We seek to answer fundamental and long-standing questions about the capabilities and limitations of our field, which has practical implications in economics, logistics, social welfare, transportation and many other real-world domains.
Adjunct & Emeritus Faculty
Accessible Accordion
Areas of Expertise
Societal Impact
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Adjunct Faculty
Adjunct Faculty
Adjunct Faculty
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Adjunct Faculty
Highlights
Allen School News
Professors Andrea Coladangelo, Matthew Golub, Ranjay Krishna, Chinmay Nirkhe, and Stephanie Wang are shaping the future of computing through projects spanning AI, systems, computational neuroscience, cryptography and quantum computing.
Allen School News
Allen School faculty recognized 2025 alumni Wei and Zhu for their outstanding doctoral dissertation research identifying new methods for tackling online harassment introducing more secure techniques for generating digital signatures, respectively.
Allen School News
Li (B.S., ‘13) and his collaborators received the award for resolving a foundational problem in robust statistics, proving that a broad class of high-dimensional statistical problems can be both efficiently and robustly solved, even when some of the data has been corrupted.