 | Ivan StelmakhI'm a fifth-year PhD student in the Machine Learning Department at CMU advised by Nihar Shah and Aarti Singh. You can find my CV here.My research interests lie in the broad area of learning from people with a focus on developing tools and techniques to support human decision-making in scientific peer review. Specifically, in my thesis research, I propose a set of tools and experiments that aim at improving fairness and efficiency of academic peer review. The rapid growth of the number of submissions to leading publication venues has identified a need for automation of some parts of the peer-review pipeline. However, there is evidence that application of off-the-shelf technologies may amplify unfairness of the process and lead to other unintended consequences. In my research, I aim at identifying and overcoming such unintended consequences by designing tools and techniques to support fair, equitable and efficient peer review. Before coming to CMU, I received a B.S. in Applied Mathematics and Physics from Moscow Institute of Physics and Technology, where I was adviced by Vladimir Vyugin. Email: stiv [at] cs.cmu.edu |
News
September 2021
I stay at Google Research for the fall semester as a student researcher.
May 2021
I'm joining Google Research for the summer internship this year.
April 2021
Our work on improving peer review is featured on sciencemag.org.
December 2020
Three papers are accepted to AAAI.
December 2020
A blog post that summarizes three experiments we conducted on the ICML 2020 peer-review process is out! Read it on hunch.net or ML@CMU.
November 2020
I am invited to the 2021 AAAI Doctoral Consortium!
September 2020
My team ended up in top 6 of the Terminal Live: CMU vs. Waterloo AI competition!
June 2020
I joined Citadel Securities for the summer internship program.
March 2020
I joined the editorial team of CMU ML Blog. If you are a CMU student, postdoc or faculty, consider featuring your work in our blog!