Takeshi Onishi

PhD - 2020
Advisor - David McAllester
Research Interests: Machine Learning + Natural Language Processing
Employment at time of graduation: Toyota Motor Corporation
Thesis: Relation/Entity-Centric Reading Comprehension (August 2020)

Siqi Sun

PhD - 2020
Advisor - Jinbo Xu
Research Interests: Machine learning, mathematical modeling and its application in bioinformatics
Employment at time of graduation: Research Software Developer Engineer, Microsoft
Thesis: Unsupervised and Supervised Structure Learning for Contact Prediction (August 2020)

Hai Wang

PhD - 2020
Advisor - David McAllester
Research Interests: Unsupervised/weakly supervised natural language processing, with applications in machine reading, machine translation and biomedical data analysis. He has broad interests in large scale Machine Learning, Deep Learning and Optimization.
Employment at time of graduation: JD.COM at Mountain View
Thesis: Knowledge Efficient Deep Learning for Natural Language Processing (August 2020)

Mohammadreza Mostajabi

PhD - 2019
Advisor - Greg Shakhnarovich
Research Interests: Machine Learning + Computer Vision
Employment at time of graduation: Research Engineer at Zendar
Thesis: Learning Rich Representations For Structured Visual Prediction Tasks (September 2019)

Heejin Choi

PhD - 2018
Advisor - Nati Srebro
Research Interests: Machine Learning
Thesis: Efficient Structured Surrogate Loss and Regularization in Structured Prediction (September 2019)

Shubhendu Trivedi

PhD - 2018
Advisor - Greg Shakhnarovich
Research Interests: Machine Learning and Computer Vision
Employment at time of graduation: Institute Fellow at the Institute for Computational and Experimental Research in Mathematics (Brown University), AND researcher-in-residence for ICERM’s Computer Vision program from Feb-May 2019
Thesis: Discriminative Learning of Similarity and Group Equivariant Representations (August 2018)

Charalampos Angelidakis

PhD - 2018
Advisor - Yury Makarychev
Research Interests: Approximation Algorithms
Employment at time of graduation: Eidgenössische Technische Hochschule Zürich (ETH Zurich)
Thesis: Shortest path queries, graph partitioning and covering problems in worst and beyond worst case settings (July 2018)

Payman Yadollahpour

PhD - 2017
Advisor - Greg Shakhnarovich
Research Interests: Machine learning and Computer Vision
Employment at time of graduation: Joint appointment at MIT CSAIL and University of Pittsburgh as a postdoctoral researcher
Thesis: Exploring and Exploiting Diversity for Image Segmentation (February 2017)

Hao Tang

PhD - 2017
Advisor - Karen Livescu
Research Interests: Machine Learning and Automatic Speech Recognition
Employment at time of graduation: MIT
Thesis: Sequence Prediction with Neural Segmental Models (September 2017))

Behnam Neyshabur

PhD - 2017
Advisor - Nati Srebro
Research Interests: Machine Learning
Employment at time of graduation: Institute for Advanced Study
Thesis: Implicit Regularization in Deep Learning (August 2017)

Somaye Hashemifar

PhD - 2017
Advisor - Jinbo Xu
Research Interests: Bioinformatics
After graduating from TTIC, Somaye worked for Columbia University. In 2019 she became a Senior AI Scientist at Genentech.
Thesis: Computational prediction and analysis of protein-protein interaction networks (August 2017)

Zhiyong Wang

PhD - 2016
Advisor - Jinbo Xu
Research Interests: Bioinformatics and Computational Biology
Employment at time of graduation: Google
Thesis: Knowledge-based machine learning methods for macromolecular 3D structure prediction (December 2016)

Taehwan Kim

PhD - 2016
Advisor - Karen Livescu
Research Interests: Machine Learning and Computer Vision
Employment at time of graduation: Caltech
Thesis: American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence (August 2016)

Avleen Bijral

PhD - 2016
Advisor - Nati Srebro
Research Interests: Machine Learning
Employment at time of graduation: Microsoft
Thesis: Data Dependent Convergence for Distributed Stochastic Optimization (August 2016)

Jianzhu Ma

PhD - 2015
Advisor - Jinbo Xu
Research Interests: Bioinformatics
After graduating from TTIC, Jianzhu worked for University of California, San Diego (Department of Medicine). In 2020, he will be a tenure track Walther Assistant Professor at Purdue University in the Department of Computer Science and the Department of Biochemistry.
Thesis: Protein Structure Prediction by Protein Alignments (September 2015)

Feng Zhao

PhD - 2014
Advisor - Jinbo Xu
Research Interests: Bioinformatics
Employment at time of graduation: Validus
Thesis: Structural Learning for Template-free Protein Folding (August 2013)

Andrew Cotter

PhD - 2013
Advisor - Nathan Srebro
Research Interests: Machine Learning
Employment at time of graduation: Google Research Mountain View
Thesis: Stochastic Optimization For Machine Learning (August 2013)

Jian Peng

PhD - 2013
Advisor - Jinbo Xu
Research Interests: Bioinformatics
After graduating from TTIC, Jian was a postdoctoral researcher in the Department of Mathematics and the Computation and Biology Group at CSAIL, MIT. In 2014, he will be a visiting assistant professor with the University of Illinois at Urbana-Champaign and as of 2015 he is an Assistant Professor in the Computer Science department at UIUC.
Thesis: Statistical inference for template-based protein structure prediction (June 2013)
Awards: 2017 NSF CAREER, 2016 Sloan Research Fellow

Karthik Sridharan

PhD - 2012
Advisor - Nathan Srebro
Research Interests: Theoretical Machine Learning
After graduating from TTIC, Karthik has spent three years as a postdoctoral research scholar at the Department of Statistics, University of Pennsylvania. As of 2014, he is an Assistant Professor at the Computer Science department at Cornell.
Thesis: Learning From An Optimization Viewpoint (April 2012)
Awards: 2018 Sloan Research Fellow

Hoang Trinh

PhD - 2010
Advisor - David McAllester
Research Interests: Computer Vision, Pattern Recognition, Machine Learning and Robotics
After graduating from TTIC, Hoang was a postdoctoral fellow at IBM Research T. J. Watson for 2 years, and then a senior research scientist at UtopiaCompression in L.A. As of 2014, he is a data scientist at Misfit Wearables.
Thesis: A Machine Learning Approach to Recovery of Scene Geometry from Images (July 2010)

Wonseok Chae

PhD - 2009
Advisor - Matthias Blume
Research Interests: Programming Languages and Software Engineering
Employment at time of graduation: Starview Technology
Thesis: Type Safe Extensible Programming (October 2009)

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