hello worldling! i'm

adiba ejaz

I'm a fourth-year PhD student in the causal AI lab at Columbia University, where I'm advised by the wonderful Elias Bareinboim. I study when and how AI can generalize to unseen combinations of interacting objects (think Steve Wozniak's coffee test ☕), using ideas from causal and relational machine learning. I've also worked on algorithms for learning causal models from high-dimensional data.

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 on 'neural' language modeling without neural networks.

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

scholar twitter cv

Papers

Teaching

I love teaching, and have TA'd for

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 dabble in the philosophy of math (see here for some writing on what I think constitutes a mathematical proof), urban foraging, and Urdu poetry translation. Check out my Goodreads.

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