Current and Past Research Fellows
If you are interested in becoming a Fellow, please see the Participate page.
Stanford University
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Research Fellow.
Stanford University
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Geometry of Polynomials, Spring 2019. Microsoft Research Fellow.
Gulbenkian Institute
Evolutionary Biology and the Theory of Computing, Spring 2014. Research Fellow.
Open University of Israel
Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow (joint with I-CORE, Israel).
The Weizmann Institute of Science
Proofs, Consensus, and Decentralizing Society, Fall 2019. Research Fellow.
Stanford University
Evolutionary Biology and the Theory of Computing, Spring 2014. Research Fellow and Workshop Organizer.
IBM Research- Zurich
Proofs, Consensus, and Decentralizing Society, Fall 2019. VMware Research Fellow.
Max Planck Institute for Informatics
Fine-Grained Complexity and Algorithm Design, Fall 2015. Qualcomm Research Fellow.
Princeton University
Lower Bounds in Computational Complexity, Fall 2018. Google Research Fellow.
Data Privacy: Foundations and Applications, Spring 2019. Google Research Fellow.
Stanford University
Proofs, Consensus, and Decentralizing Society, Fall 2019. Microsoft Research Fellow.
Yale University
Theory of Reinforcement Learning, Fall 2020. Fellow.
Theoretical Foundations of Computer Systems, Spring 2021. Research Fellow.
Georgia Institute of Technology
Geometric Methods in Optimization and Sampling, Fall 2021. Research Fellow.
University of Washington
The Brain and Computation, Spring 2018. Patrick J McGovern Research Fellow.
Massachusetts Institute of Technology
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Georgia Institute of Technology
Data Privacy: Foundations and Applications, Spring 2019. Google Research Fellow.
Hungarian Academy of Sciences
Fine-Grained Complexity and Algorithm Design, Fall 2015. Research Fellow.
Counting Complexity and Phase Transitions, Spring 2016. Research Fellow.
Czech Academy of Sciences
Lower Bounds in Computational Complexity, Fall 2018. Google Research Fellow.
Satisfiability: Theory, Practice, and Beyond, Spring 2021. Research Fellow.
Saarland University and Cluster of Excellence, MMCI
Fine-Grained Complexity and Algorithm Design, Fall 2015. Research Fellow.
Counting Complexity and Phase Transitions, Spring 2016. Research Fellow.
Massachusetts Institute of Technology
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. PayPal Research Fellow.
University of Chicago
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Google Research Fellow.
Centrum Wiskunde & Informatica
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. VMware Research Fellow.
Tel Aviv University
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow.
Information Theory, Spring 2015. Research Fellow.
University of Washington
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
The Brain and Computation, Spring 2018. Research Fellow.
Simons Institute, UC Berkeley
Probability, Geometry, and Computation in High Dimensions, Fall 2020. RMKarp Research Fellow.
Johannes Kepler University Linz
Satisfiability: Theory, Practice, and Beyond, Spring 2021. Research Fellow.
CNRS, LaBRI, Bordeaux
Logical Structures in Computation, Fall 2016. Research Fellow.
Theoretical Foundations of Computer Systems, Spring 2021. VMware Research Fellow.
Technion Israel Institute of Technology
Real Analysis in Computer Science, Fall 2013. Research Fellow.
University of Toronto
Satisfiability: Theory, Practice, and Beyond, Spring 2021. M.V. Raghunathan Research Fellow.
University of Illinois at Urbana-Champaign
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Google Research Fellow.
Pseudorandomness, Spring 2017. Research Fellow.
McGill University
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Research Fellow.
Alfréd Rényi Institute of Mathematics
The Quantum Wave in Computing, Spring 2020. Google Research Fellow.
Lund University
Satisfiability: Theory, Practice, and Beyond, Spring 2021. Ripple UBRI Research Fellow.
Massachusetts Institute of Technology (MIT)
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Apple Research Fellow.
Facebook AI Research
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Google Research Fellow.
University of Edinburgh
Counting Complexity and Phase Transitions, Spring 2016. Google Research Fellow.
Georgia Institute of Technology
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow and Workshop Organizer.
Real-Time Decision Making, Spring 2018. Microsoft Research Fellow.
UC Berkeley
Computational Complexity of Statistical Inference, Fall 2021. Research Fellow.
Learning and Games, Spring 2022. Research Fellow.
Pontificia Universidad Católica Argentina
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow.
NTT Research
Proofs, Consensus, and Decentralizing Society, Fall 2019. Google Research Fellow.
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Google Research Fellow.
UC Berkeley
Computational Complexity of Statistical Inference, Fall 2021. Microsoft Research Fellow.
Microsoft Research
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Research Fellow.
Max Planck Institute for Informatics
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow.
Lower Bounds in Computational Complexity, Fall 2018. Research Fellow.
Ecole Polytechnique Fédérale de Lausanne
Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow.
Simons Institute, UC Berkeley
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Research Fellow.
Massachusetts Institute of Technology
Foundations of Data Science, Fall 2018. Microsoft Research Fellow.
Data Privacy: Foundations and Applications, Spring 2019. Microsoft Research Fellow.
Toyota Technological Institute at Chicago
Foundations of Deep Learning, Summer 2019. Research Fellow.
Temple University
Data Privacy: Foundations and Applications, Spring 2019. Patrick J. McGovern Research Fellow.
University of Texas at Austin
Foundations of Data Science, Fall 2018. Patrick J. McGovern Research Fellow.
California Institute of Technology
Real-Time Decision Making, Spring 2018. Research Fellow.
The Brain and Computation, Spring 2018. Qualcomm Research Fellow.
University of Illinois Urbana-Champaign
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Google Research Fellow.
Stanford University
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Ripple Research Fellow.
University of Colorado Boulder
Real Analysis in Computer Science, Fall 2013. Research Fellow.
Quantum Hamiltonian Complexity, Spring 2014. Research Fellow.
Weizmann Institute of Science
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Research Fellow.
University of Southern California
Data Privacy: Foundations and Applications, Spring 2019. VMware Research Fellow.
University of Salzburg
Fine-Grained Complexity and Algorithm Design, Fall 2015. Research Fellow (joint with MPI).
Aalto University
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Microsoft Research Fellow.
ETH Zürich
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow and Workshop Organizer.
Shanghai University of Finance and Economics
Algorithmic Spectral Graph Theory, Fall 2014. Research Fellow (joint with ICORE).
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow (joint with MPI).
Carnegie Mellon University
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Stanford University
Algorithmic Challenges in Genomics, Spring 2016. Research Fellow (joint with LBNL).
Duke University
Computational Complexity of Statistical Inference, Fall 2021. Research Fellow.
Geometric Methods in Optimization and Sampling, Fall 2021. PayPal Research Fellow.
University of Liverpool
Theoretical Foundations of Computer Systems, Spring 2021. Facebook/Novi Research Fellow.
Nanyang Technological University
Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow (joint with MPI Saarbrücken).
University of Wisconsin-Madison
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Georgia Institute of Technology
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Research Fellow.
Institute of Science and Technology Austria
Theoretical Foundations of Computer Systems, Spring 2021. Research Fellow.
UC Berkeley
Evolutionary Biology and the Theory of Computing, Spring 2014. Research Fellow and Workshop Organizer.
California Institute of Technology
The Quantum Wave in Computing, Spring 2020. Microsoft Research Fellow.
Max Planck Institute for Security and Privacy
Proofs, Consensus, and Decentralizing Society, Fall 2019. Research Fellow.
University of Illinois at Urbana-Champaign
Theoretical Foundations of Computer Systems, Spring 2021. NTT Research Fellow.
Boston University
Data Privacy: Foundations and Applications, Spring 2019. Patrick J. McGovern Research Fellow.
Polish Academy of Sciences
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow.
Tel Aviv University
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. J.P. Morgan Research Fellow.
University of Pennsylvania
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Technion - Israel Institute for Technology
Foundations of Machine Learning, Spring 2017. Research Fellow.
University of British Columbia
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
Massachusetts Institute of Technology
Lower Bounds in Computational Complexity, Fall 2018. Research Fellow.
Georgia Institute of Technology
Theory of Reinforcement Learning, Fall 2020. Google Research Fellow.
Eindhoven University of Technology
Fine-Grained Complexity and Algorithm Design, Fall 2015. Research Fellow.
IBM Postdoctoral Fellow
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow (joint with Tsinghua University).
CNRS
Logical Structures in Computation, Fall 2016. Research Fellow.
Satisfiability: Theory, Practice, and Beyond, Spring 2021. Research Fellow.
UC Santa Barbara
Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow (joint with Lawrence Berkeley National Lab).
Massachusetts Institute of Technology
Algorithmic Challenges in Genomics, Spring 2016. Research Fellow.
Georgia Institute of Technology
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Swiss Re Research Fellow.
Singapore University of Technology and Design
Economics and Computation, Fall 2015. Research Fellow.
Boston University
Proofs, Consensus, and Decentralizing Society, Fall 2019. Research Fellow.
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Research Fellow.
University of Texas, Austin
Theoretical Foundations of Big Data Analysis, Fall 2013. Google Research Fellow.
New Mexico Institute of Mining and Technology
Logical Structures in Computation, Fall 2016. Research Fellow.
Pennsylvania State University
Data Privacy: Foundations and Applications, Spring 2019. Research Fellow.
McGill University
Lower Bounds in Computational Complexity, Fall 2018. Research Fellow.
Meta-Complexity, Spring 2023. Research Fellow.
University of Toronto
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow.
Information Theory, Spring 2015. Research Fellow.
University of Potsdam
Satisfiability: Theory, Practice, and Beyond, Spring 2021. Microsoft Research Fellow.
University of Pennsylvania
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Google Research Fellow.
Columbia University
Probability, Geometry, and Computation in High Dimensions, Fall 2020. NTT Research Fellow.
Computational Complexity of Statistical Inference, Fall 2021. Research Fellow.
Shanghai Jiao Tong University
Real Analysis in Computer Science, Fall 2013. Research Fellow (joint with Tsinghua University).
Massachusetts Institute of Technology
Bridging Continuous and Discrete Optimization, Fall 2017. Microsoft Research Fellow.
Stanford University
Bridging Continuous and Discrete Optimization, Fall 2017. Google Research Fellow.
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Microsoft Research Fellow.
Institute for Advanced Study, Princeton
Algorithmic Spectral Graph Theory, Fall 2014. Research Fellow.
Uppsala University
Computational Complexity of Statistical Inference, Fall 2021. M.V. Raghunathan Research Fellow.
Portland State University
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Research Fellow.
Indian Institute of Technology Bombay
Fine-Grained Complexity and Algorithm Design, Fall 2015. Research Fellow.
IBM Almaden
Data Privacy: Foundations and Applications, Spring 2019. Patrick J. McGovern Research Fellow.
Cornell University
Lattices: Algorithms, Complexity, and Cryptography, Spring 2020. Microsoft Research Fellow.
Columbia University
Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022. Research Fellow.
University of Bristol
Algorithmic Spectral Graph Theory, Fall 2014. Research Fellow (joint with Max Planck Institute, Saarbrücken).
Massachusetts Institute of Technology
Counting Complexity and Phase Transitions, Spring 2016. Microsoft Research Fellow.
Columbia University
Algorithms and Uncertainty, Fall 2016. Google Research Fellow.
Foundations of Machine Learning, Spring 2017. Google Research Fellow.
Stanford University
Algorithmic Spectral Graph Theory, Fall 2014. Microsoft Research Fellow.
Information Theory, Spring 2015. Microsoft Research Fellow.
University of Illinois, Urbana-Champaign
Foundations of Machine Learning, Spring 2017. Research Fellow.
Georgetown University
Theoretical Foundations of Big Data Analysis, Fall 2013. Microsoft Research Fellow.
Evolutionary Biology and the Theory of Computing, Spring 2014. Microsoft Research Fellow.
Stanford University
Geometric Methods in Optimization and Sampling, Fall 2021. VMware Research Fellow.
Massachusetts Institute of Technology
Theoretical Foundations of Big Data Analysis, Fall 2013. Research Fellow.
Max Planck Institute for Intelligent Systems, Tuebingen
Foundations of Machine Learning, Spring 2017. Google Research Fellow.
California Institute of Technology
Quantum Hamiltonian Complexity, Spring 2014. Microsoft Research Fellow.
University of Texas, Austin
Bridging Continuous and Discrete Optimization, Fall 2017. Research Fellow.
North Carolina State University
Algorithms and Complexity in Algebraic Geometry, Fall 2014. Research Fellow and Workshop Organizer.
Stanford University
Probability, Geometry, and Computation in High Dimensions, Fall 2020. Research Fellow.
Institute for Defense Analyses
Real Analysis in Computer Science, Fall 2013. Google Research Fellow.
Evolutionary Biology and the Theory of Computing, Spring 2014. Google Research Fellow.
Princeton University
Economics and Computation, Fall 2015. Microsoft Research Fellow.
Algorithms and Uncertainty, Fall 2016. Research Fellow.
Emory College of Arts and Sciences
Evolutionary Biology and the Theory of Computing, Spring 2014. Research Fellow.
New York University
Geometric Methods in Optimization and Sampling, Fall 2021. J.P. Morgan Research Fellow.
Technion - Israel Institute of Technology
Proofs, Consensus, and Decentralizing Society, Fall 2019. Research Fellow.
Columbia University
The Quantum Wave in Computing, Spring 2020. Research Fellow and Workshop Organizer.
Ben-Gurion University
Algorithmic Challenges in Genomics, Spring 2016. Research Fellow (joint with ICORE).
EMBL-European Bioinformatics Institute
Algorithmic Challenges in Genomics, Spring 2016. Research Fellow.
UC Berkeley
Causality, Spring 2022. Research Fellow.
Learning and Games, Spring 2022. Research Fellow.
Ludwig-Maximilian-University Munich
Evolutionary Biology and the Theory of Computing, Spring 2014. Research Fellow.
