🗽 About

I am a lecturer in Data Science in the Computer Science Department at Columbia University. I finished my Ph.D. in the same department under the guidance of Andrew J. Blumberg and Itsik Pe'er.

Fall 2025 Office Hours: Mondays 2–4 PM, Mudd 429 (inside DSI).

🎓 Education

Ph.D. in Computer Science
Columbia University (2020 - 2025)

B.A. in Mathematics
University of California, Berkeley (2016 - 2020)

📖 Teaching

I am passionate about teaching and strive to create an engaging, well-structured learning environment that supports students in exploring their academic curiosity. Here is my teaching statement if you would like to learn more about my approach to teaching.

Fall 2025 Teaching Schedule:

ENGI E4800: Data Science Capstone (Sections 1 and 2)
COMS W1002-003: Computing in Biology (with Mark Santolucito)

If you are in my sections, you are more than welcome to share feedback through the anonymous feedback form; your inputs are greatly appreciated.

🔍 Research

Automated Cell Type Annotation with Reference Cluster Mapping
Valerio Galanti, Lingting Shi, Elham Azizi, Yining Liu, Andrew J. Blumberg
Preprint, 2024

CellStitch: 3D Cellular Anisotropic Image Segmentation via Optimal Transport
Yining Liu*, Yinuo Jin*, Elham Azizi, Andrew J. Blumberg
BMC Bioinformatics, 2023

A Python library for probabilistic analysis of single-cell omics data
A. Gayoso, R. Lopez, G. Xing, P. Boyeau, V.V.P. Amiri, J. Hong, K. Wu, M. Jayasuriya, E. Melhman, M. Langevin, Y. Liu, J. Samaran, G. Misrachi, A. Nazaret, O. Clivio, C. Xu, T. Ashuach, M. Lotfollahi, V.Svensson, E. da Veiga Beltrame, C. Talavera-Lopez, L. Pachter, F.J. Theis, A. Streets, M.I. Jordan, J. Regier, N. Yosef
Nature Biotechnology, 2022

A Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing under the Probabilistic Framework
Yining Liu, Sachin Kadyan, Itsik Pe'er
AlCoB, 2021