8229 Gates & Hillman
5000 Forbes Avenue
Pittsburgh, PA 15213
I’m a Ph.D. student in the Machine Learning Department at CMU, advised by Prof. Eric Xing. I’ve also spent time at OpenAI (2017) and Google Research (2018). My work is generously supported by the CMLH Fellowship (2018/19) and Google PhD Fellowship (2019/20).
Probabilistic modeling, multi-task learning, and deep learning, with a focus on computational frameworks for adaptation, personalization, and interpretability of statistical models learned from data. I apply machine learning to healthcare, natural language, multi-agent systems, and general AI.
Previously: [a more formal bio]
I hold M.Sc. in Computer Science from KAUST where I worked with Prof. Khaled Salama and collaborated with Prof. Gert Cauwenberghs on neuromorphic approaches to machine learning. Before that I studied Physics at Lomonosov Moscow State University and Data Analysis at Yandex School of Data Analysis.
I’ve recently co-organized the ICML 2019 workshop on Adaptive & Multitask Learning. I’m an editor of the ML@CMU Blog and regularly PC/review for: ICLR, ICML, JMLR, NeurIPS, UAI, AAAI, AISTATS, and various ML/AI workshops. I’m also a co-founder of Carnegie Mellon AI+, an intellectual hub where we discuss the AI-driven industry of the future and host talks by founders/teams from AI companies.
|Sep 9, 2019||Honored to be part of the 2019 class of Google PhD Fellows in Machine Learning. Huge thank you to all my mentors, colleagues, and collaborators! And thank you, Google!|
|May 15, 2019||It was a lot of work (and fun!) to help teach PGM 2019 class this past Spring. Check out an excellent set of lecture notes written by students in distill-like style. Recordings of all lectures are now available on YouTube.|
|Apr 29, 2019||Gave a talk at ML Lunch Seminar on Consistency by Agreement. Slides are here.|
|Apr 5, 2019||How do we make zero-shot NMT consistent? Our NAACL 2019 paper on Consistency by Agreement shows how to do that! Joint work with Ankur Parikh at Google NYC last year. Preprint is now on arXiv.|
|Mar 29, 2019||Excited to be co-organizing a workshop on Adaptive & Multitask Learning this year at ICML. Please consider submitting your latest work!|
|Jan 25, 2019||
Grateful to be awarded $12,000 in Cloud Credits for Research from AWS.
Time to burn some compute!