8229 Gates & Hillman
5000 Forbes Avenue
Pittsburgh, PA 15213
Sequential decision making, multi-task learning, deep learning, graphical models, interpretable ML. Applications in healthcare, natural language, multi-agent systems, and general AI.
I hold M.Sc. in Computer Science from KAUST where I worked with Khaled Salama and collaborated with 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-founded Carnegie Mellon AI+, an intellectual hub where we envision and build the AI-driven industry of the future. We’re regularly hosting talks by co-founders of AI startups as well as AI teams from the industry. Please reach out to us.
|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!
|Jan 11, 2019||Excited to be on the teaching crew of PGM 2019. Expect new lecture material focused on deep generative models and RL. Everything will be online, lectures will be live-streamed and recorded. Stay tuned!|
|Dec 12, 2018||We’ve just launched the ML@CMU Blog! If you would like to contribute a post, please reach out.|