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.
|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.|
|Dec 10, 2018||New short paper, On the Complexity of Exploration in Goal-Driven Navigation, to presented at the R2L Workshop at NeurIPS 2018 (with Lisa, Russ, Eric).|
|Jul 15, 2018||
Some highlights from AAMAS 2018 and ICML 2018:
|May 21, 2018||Spending this summer at Google Research on the Language team in NYC, hosted by Ankur Parikh. Thinking about language generation in low-resource and multi-task settings.|
|May 5, 2018||
Some highlights from ICLR 2018:
|Apr 15, 2018||Very grateful to be awarded the 2018 CMLH Fellowship in Digital Healthcare by the Center of Machine Learning and Health. Looking forward to doing a lot of new exciting work in #ML4Health!|
|Apr 3, 2018||I gave a talk at ML Lunch seminar on meta-learning for continuous adaptation. Here are the slides.|