About Me

I am a PhD student in machine learning at Machine Learning Center (ML@GT) and School of Mathematics, Georgia Institute of Technology, Atlanta, GA. I am fortunate to be advised by Profs. Negar Kiyavash (now at EPFL) and Mark Davenport.

My research interest mainly lies in causal discovery and causal structure learning: Identifiability and algorithms. In particular:


Y. Yang, A. Ghassami, M. Nafea, N. Kiyavash, K. Zhang, and I. Shpitser, "Causal Discovery in Linear Latent Variable Models Subject to Measurement Error", 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA. [arxiv] [poster]

Y. Yang, M. Nafea, A. Ghassami, and N. Kiyavash, “Causal Discovery in Linear Structural Causal Models with Deterministic Relations”, Proceedings of the 1st Conference on Causal Learning and Reasoning (CLeaR 2022), Eureka, USA. [proceedings] [arxiv] [poster]

Teaching Experiences

MATH 1552: Integral Calculus
TA, Fall 2018, Spring 2019, Fall 2021
MATH 1553: Intro to Linear Algebra
TA, Summer 2021


Georgia Tech School of Mathematics
686 Cherry Street NW
Skiles Building, Room 117
Atlanta, GA 30332-0160
Office: Skiles 137
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