I'm a PhD student in the Computer Science Department at Princeton University, working under the advisement of Sanjeev Arora. Previously I received my B.S.E. degree at Princeton University as well. I work in the intersection of machine learning and theoretical computer science, with the primary goal of designing provable and practical algorithms for problems arising in machine learning. |

- RAND-WALK: a latent variable model approach to word embeddings. With Sanjeev Arora, Yuanzhi Li, Yingyu Liang and Tengyu Ma.
*Transactions of the Association for Computational Linguistics (TACL), Vol 4, 2016* - Linear algebraic structure of word senses, with applications to polysemy. With Sanjeev Arora, Yuanzhi Li, Yingyu Liang and Tengyu Ma.
*Manuscript*

- On some provably correct cases of variational inference for topic models. With Pranjal Awasthi.
*NIPS 2015, Spotlight* - Recovery guarantee of weighted low-rank approximation via alternating minimization. With Yuanzhi Li and Yingyu Liang.
*ICML 2016* - Non-negative matrix factorization using a decode-and-update approach. With Yuanzhi Li and Yingyu Liang.
*NIPS 2016*

- How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods.
*COLT 2016, long talk* - Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods. With Yuanzhi Li.
*NIPS 2016* - Provable learning of noisy-or networks. With Sanjeev Arora, Rong Ge, and Tengyu Ma.
*STOC 2017* - New practical algorithms for learning noisy-or networks via symmetric NMF. With Sanjeev Arora, Rong Ge, and Tengyu Ma.

- Label optimal regret bounds for online local learning. With Pranjal Awasthi, Moses Charikar and Kevin A. Lai.
*COLT 2015* - Tight algorithms and lower bounds for approximately convex optimization. With Yuanzhi Li.
*NIPS 2016*

- On routing disjoint paths in bounded treewidth graphs. With Alina Ene, Matthias Mnich and Marcin Pilipczuk.
*To appear in SWAT 2016* - Skeletal rigidity of phylogenetic trees. With Howard Cheng, Satyan Devadoss, Brian Li.
*Discrete Applied Mathematics 170, 2014.* - What makes a tree a straight skeleton? With Oswin Aichholzer, Howard Cheng, Thomas Hackl, Stefan Huber, Brian Li.
*Canadian Conference on Computational Geometry 2012.*

- New techniques for learning and inference in probabilistic graphical models
- Microsoft Research Redmond, 02/08/17
- How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods
- Stanford Theory Seminar, 02/02/17
- Los Alamos National Laboratory, 11/07/16
- Rutgers University, 10/19/16
- COLT (New York City, 2016) [Video]
- On some provably correct cases of variational inference for topic models
- NIPS (Montreal, 2015) [Video, talk starts circa 11:45]
- Random walks on context spaces: towards an explanation of the mysteries of semantic word embeddings
- China Theory Week (Jiao Tong University, Shanghai, 2015)
- Label optimal regret bounds for online local learning
- COLT (Paris, 2015) [Video]

- School of Engineering and Applied Science Award for Excellence, 2016
- Princeton Honorific Fellowship nominee, 2016
- Member of Phi Beta Kappa, Tau Beta Pi, Sigma Xi
- Shapiro Prize for freshman year at Princeton University - 2009
- Bronze medal at Balkan Mathematical Olympiad – 2007
- Honorable Mention at International Mathematical Olympiad – 2007

- Grader for COS433 (Cryptography) at Princeton: Fall 2011/12
- Teaching assistant for COS451 (Computational Geometry) at Princeton: Fall 2013/14
- Teaching assistant for COS445 (Networks, Economics and Computing) at Princeton: Spring 2014

- The easiest way to reach me is email. My address is lastname
*at*princeton.edu