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).

Research Interests:
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.

Professional Service:
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.

Besides my professional activities, I am a member of Carnegie Marathon Club, love doing sports and hiking in beautiful places. Also, I grew up in Moscow and speak Russian.