I am Alex (Oleksandr) Polozov, a principal researcher in the Deep Learning group at Microsoft Research, Redmond. I work on neural program synthesis from input-output examples and natural language, intersections of machine learning and software engineering, and neuro-symbolic reasoning. I am particularly interested in combining neural and symbolic techniques to tackle the next generation of AI problems, including program synthesis, planning, and question answering.
My main passion of the last several years has been PROSE, a program synthesis framework for mass-market development of by-example technologies. For details on other projects, please see my CV and the list of publications.
I completed my Ph.D. in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. My advisors were Sumit Gulwani and Zoran Popović. Before joining UW, I received my B.S. in System Analysis with honors from the National Technical University of Ukraine “Kyiv Polytechnic Institute” in 2012.