Himank Yadav

Email: [email protected]
Website: himankyadav.com
Office: 350 Gates Hall

Side projects

I am a PhD candidate in Computer Science at Cornell University broadly working in the area of machine learning and algorithms. More specifically, I am interested in problems around counterfactual policy learning and evaluation in addition to thinking about questions on fairness, interpretability and transparency in such settings. I am extremely fortunate to be advised by Thorsten Joachims.

In the past, I graduated from Texas A&M University in May 2018 with a B.S. in Computer Science (summa cum laude), completing an ACE Scholars degree with an honors thesis supervised by Dr. Jennifer Welch. I’ve also worked in engineering at Facebook, an intern at Nextdoor, and an intern at Apple. During undergrad, I also helped run TAMUhack.


Technical Reports