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The theory group is engaged in cutting-edge research in a broad span of areas, including approximation and online algorithms, graph algorithms, combinatorics, complexity theory, geometric computing, game theory and mechanism design, machine learning, stochastic optimization and decision theory. The group is also engaged in collaborative efforts with researchers in a broad array of application areas and makes leading contributions to nanotechnology systems, computational molecular biology, database management and data analysis, computational economics, internet systems and services, high-performance computing, geographic information systems (GIS), and ecological modeling.

Faculty

	Pankaj Agarwal Personal Website Research Interests: Computational & discrete geometry, Shape analysis, GIS and ecologic modeling, Spatial databases, Sensor networks, Trajectory data analysis		Robert Calderbank Research Interests: Error correcting codes, Combinatorics, Electrical Engineering		Brandon Fain Personal Website Research Interests: Fair resource allocation, Algorithmic game theory, Computational social choice.		Rong Ge Personal Website Research Interests: Algorithms, machine learning, matrix/tensor decompositions, optimization.
	Kamesh Munagala Personal Website Research Interests: Approximation and Online algorithms, Stochastic optimization, Decision theory, Scheduling theory, Computational Economics and Algorithmic mechanism design.		Debmalya Panigrahi Personal Website Research Interests: Graph algorithms, Online and approximation algorithms, Combinatorial optimization, Applied algorithms		John H. Reif Personal Website Research Interests: Biomolecular Computing and Self Assembly of DNA Nanostructures, Algorithms, Quantum computing, Optical computing		Benjamin Rossman Personal Website Research Interests: Complexity Theory, Circuit Complexity, Finite Model Theory, Combinatorics
	Alex Steiger Personal Website Research Interests: Computational Geometry, Graph Algorithms		Xiaobai Sun Research Interests: Numerical Analysis, Matrix Theory, High-performance Scientific Computing and Parallel Computing		Fan Wei Personal Website Research Interests: Extremal combinatorics, probabilistic combinatorics, applications of combinatorics to computer science		Anru Zhang Personal Website Research Interests: Tensor Learning, High-dimensional Statistical Inference, Statistical Learning Theory, Generative Models, Electronic Health Records, Microbiome Studies

Affiliated Faculty

Bruce Donald Personal Website Primary Area: Artificial Intelligence Research Interests: Computational biology, chemistry and biophysics, Protein modeling, Optimization, Game theory for pathogen resistance, Statistical mechanics, and Geometric computing

Jianfeng Lu Personal Website Primary Area: Applied Mathematics Research Interests: Electronic Structure and Many Body Problems; Quantum Molecular Dynamics; Multiscale Modeling and Analysis; Rare Events and Sampling Techniques

Bruce Maggs Personal Website Primary Area: Systems Research Interests: Distributed systems, including content delivery networks, computer networks, and computer and network security.

Scott Schmidler Personal Website Primary Area: Statistical Science Research Interests: Monte Carlo algorithms, Markov chain mixing times, Stochastic modeling, Bioinformatics, Machine learning, and Statistical computing

Graduate Students

Current PhD Students

• Ruoxu Cen
• Muthu Chidambaram
• Anish Hebbar
• Ben Holmgren
• Ruoming Huang
• Rajiv Nagipogu
• Rahul Raychaudhury
• Govind S. Sankar
• Yiheng Shen
• Lu Wang
• Keegan Yao
• Mo Zhou

Recent Alumni

Postdocs

• Holden Lee, 2022 (Assistant Professor at Johns Hopkins)
• Xiao Hu, 2022 (Assistant Professor at UWaterloo)
• Anilesh Krishnaswamy, 2021 (Google)
• Hsien-Chih Chang, 2020 (Assistant Professor at Dartmouth College)
• Yu Cheng, 2019 (Assistant Professor at Brown University)
• Emily Kyle Fox, 2017 (Associate Professor at UT Dallas)
• Sungjin Im, 2013 (Associate Professor at UC Merced)
• Thomas Moelhave, 2013 (Scalable Algorithmics)
• Swaminathan Sankaraman, 2013 (Akamai Technologies)

PhDs

• Chenwei Wu, 2023 (Huawei)
• Erin Taylor, 2023 (Geometric Data Analytics)
• Alexander Steiger, 2023 (Assistant Research Professor at Duke University)
• Keerti Anand, 2022 (Goldman Sachs)
• Abraham Frandsen, 2022 (Enveda Biosciences)
• Kevin Sun, 2022 (Teaching Assistant Professor at UNC-Chapel Hill)
• Kangning Wang, 2022 (Postdoc at Stanford)
• Xiang Wang, 2022 (Research Scientist at Meta)
• Aaron Lowe, 2021 (Esri)
• Reza Alijani, 2020 (Google)
• Yuan Deng, 2020 (Google Research)
• Stavros Sintos, 2020 (Assistant Professor at UIC)
• Allen Xiao, 2020 (Robinhood)
• Brandon Fain, 2019 (Assistant Research Professor at Duke University)
• Samuel Haney, 2019 (Tumult Labs)
• Nathaniel Kell, 2018 (Assistant Professor at Denison University)
• Seyed Zahedi, 2018 (Assistant Professor at UWaterloo)
• Abhinandan Nath, 2018 (Mentor Graphics)
• Tianqi Song, 2018 (Postdoc at Caltech)
• Hieu Bui, 2017 (Assistant Professor at The Catholic University of America)
• Sudhanshu Garg, 2016 (LinkedIn)
• Jiangwei Pan, 2016 (Netflix)
• Janardhan Kulkarni, 2015 (Principal Researcher at Microsoft)
• Salman Parsa, 2015 (Assistant Professor at DePaul University)
• You Wu, 2015 (Google Research)
• Xiaoming Xu, 2015 (Google)
• Wuzhou Zhang, 2015 (Apple)
• Albert Yu, 2013 (Amazon)
• Sharath Raghvendra, 2012 (Associate Professor at Virginia Tech)
• Sayan Bhattacharya, 2012 (Associate Professor at University of Warwick)
• Harish Chandran, 2012 (Google)
• Nikhil Gopalkrishnan, 2012 (3EO Health)
• Shashidhara K. Ganjugunte, 2011 (Mentor Graphics)

Undergraduates

• Ivan-Aleksandar Mavrov, 2023 (PhD student at Stanford)
• Zeyu Shen, 2023 (PhD student at Cornell)
• William He, 2022 (PhD student at CMU)
• Xingyu (Jupiter) Zhu, 2022 (PhD student at Princeton)
• Charles Lyu, 2020 (PhD student at MIT)
• Xingyu Chen, 2019 (Facebook)
• Haofeng (Fred) Zhang, 2018 (PhD at Harvard -> PhD student at UC Berkeley)
• Arun Ganesh, 2017 (PhD at UC Berkeley -> Google Research)
• Rex Ying, 2016 (PhD at Stanford -> Assistant Professor at Yale)
• William Victor, 2016 (Applied Predictive Technologies)
• Niel Lebeck, 2014 (PhD at UW Seattle -> Google)
• Ben Berg, 2013 (PhD student at CMU -> Assistant Professor at UNC-Chapel Hill)
• Siyang Chen, 2012 (Google)
• Alex Beutel, 2011 (Google)
• Peng Shi, 2010 (PhD student at MIT -> Assistant Professor at USC Marshall School of Business)