Hi, I'm a ph.D. student in the theory of computation group at Harvard University, where I'm fortunate to be advised by Prof. Boaz Barak. I recieved by B.S. from University of Washington.

I'm broadly interested in Probability theory, Optimization, Machine learning, and Algorithms.

## Papers:

Central Limit Theorem of Overlap for the Mean Field Ghatak-Sherrington model

Yueqi Sheng, Qiang Wu (Submitted to JMP)

Robust reconstruction of single-cell RNA-seq data with iterative gene weight updates

Yueqi Sheng, Boaz Barak, Mor Nitzan (ISMB/EECB 2023)

(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs

Boaz Barak, Chi-Ning Chou, Zhixian Lei, Tselil Schramm, Yueqi Sheng (NeurIPS 2019)

## Teaching:

Fall 2023: (COMPSCI 121) Introduction to Computer Science

Teaching Fellow

Spring 2018: (COMPSCI 127) Cryptography

Teaching Fellow