adiba ejaz

I'm a second-year PhD student in the causal AI lab at Columbia University, where I'm advised by the wonderful Elias Bareinboim. I am interested in tackling the problem of causal discovery - learning a causal graph from data - in settings with unobserved confounding. I have a side interest in imitation games, particularly the Turing test.

Prior to graduate school, I completed a bachelor's in math and computer science (also at Columbia), during which I was fortunate to work with Christos Papadimitriou and Simon Billinge.

e-mail: adiba dot ejaz at cs dot columbia dot edu

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Papers

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies with Hyunchai Jeong, Jin Tian, and Elias Bareinboim.
[arXiv] Oral at AAAI 2025.

Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages with Dan Mitropolsky, Mirah Shi, Christos Papadimitriou, and Mihalis Yannakakis.
[arXiv, proceedings] NALOMA 2022.

Teaching

I love teaching, and have TA'd for

COMS 4775 Causal Inference I (Fall 2024 with Elias Bareinboim)
COMS 4236 Computational Complexity (Fall 2022 with Xi Chen, Spring 2023 with Rocco Servedio)
MATH 4041 Modern Algebra I (Fall 2020 with Robert Friedman, Spring 2022 with Jorge Pineiro)
MATH 1208 Honors Mathematics B (Spring 2021 with Evan Warner)

I've also organised seminars in algorithmic game theory (Summer 2021) and the formal semantics of programming languages (Fall 2022) with the undergraduate TCS seminar at Columbia; and taught philosophy to high-schoolers in New York through Corrupt the Youth.

Et cetera

I also dabble in the philosophy of math (see here for some writing) and in Urdu poetry translation. Check out my Goodreads.

“How wonderful that we have met with a paradox.
Now we have some hope of making progress.”
Neils Bohr

hello worldling! i'm

adiba ejaz

Papers

Teaching

Et cetera