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)

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)

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)

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)

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)

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)

Jianzhu Ma

PhD - 2015
Advisor - Jinbo Xu
Research Interests: Bioinformatics
Employment at time of graduation: University of California, San Diego (Department of Medicine)
Thesis: Protein Structure Prediction by Protein Alignments (September 2015)

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)

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)

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)

Somaye Hashemifar

PhD - 2017
Advisor - Jinbo Xu
Research Interests: Bioinformatics
Thesis: Computational prediction and analysis of protein-protein interaction networks (August 2017)

Behnam Neyshabur

PhD - 2017
Advisor - Nati Srebro
Research Interests: Machine Learning
Thesis: Implicit Regularization in Deep Learning (August 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))

Payman Yadollahpour

PhD - 2017
Advisor - Greg Shakhnarovich
Research Interests: Machine learning and Computer Vision
Thesis: Exploring and Exploiting Diversity for Image Segmentation (February 2017)