# About

I am a graduate student advised by Andrew J. Blumberg and Itsik Pe'er. My research interests are geometric/topological data analysis and computational biology.
## Education

Ph.D. in Computer Science

* Columbia University (2020 - present) *

M.S. in Computer Science

* Columbia University (2020 - 2022) *

B.A. in Mathematics

* University of California, Berkeley (2016 - 2020) *
## Teaching

I am not teaching in Fall 2022.

In the past, I was a:
TA for * COMS 4771: Machine Learning* (Su22)
TA for * COMS 3251: Computational Linear Algebra* (Su22)
instructor for * COMS W3203-001: Discrete Mathematics* (Fa21)
TA for * COMS W4995-004: Geometric Data Analysis* (Sp21)
In spring 2022, I helped with organizing a seminar on Non-Euclidean Embeddings in Computational Biology.

Prior to Columbia, I was a part of the wonderful teaching community at UC Berkeley:

co-instructor for * CS70: Discrete Mathematics and Probability Theory * (Su20)
TA for * CS70: Discrete Mathematics and Probability Theory * (Su18, Sp19)
TA for * CS170: Algorithms and Complexity Theory * (Fa18)
## Publications

A Python library for probabilistic analysis of single-cell omics data [Paper]

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 [Paper]

Yining Liu, Sachin Kadyan, Itsik Pe'er

* International Conference on Algorithms for Computational Biology (AlCoB), 2021 *