I’ve just finished my graduate studies. After spending 2.5 years in the PhD program at the database group, at UW Allen School of Computer Science, advised by Dan Suciu, I decided to leave with M.S and work in industry. During my PhD, I focused on data systems and machine learning, specifically on join processing, and natural languge interfaces for querying knowledge graphs.
Prior to moving to UW, I studied Mathematics and Computer Science at UCLA. There, I was fortunate to work with Guy Van den Broeck and do research on inference in probabilistic models as a member of Statistical Relational AI Lab. During all four years, I taught mathematics to a group of high-school students at the UCLA Olga Radko Endowed Math Circle. I was also part of Upsilon Pi Epsilon, and DevX - a student-led organization focusing on building useful things for the community at UCLA. We built an app that tracks crowdedness of libraries on campus in real time.
I’ve also worked in a bunch of places!
Most recently, I interned at RelationalAI, where I was integrating a novel query compiler into the main query processing engine. RelationalAI team is fantastic!
I also worked at AWS Redshift for two summers in a row. First time, I worked on bringing ML into the data warehouse. It was a very fun internship! Next summer, I returned to Redshift again; this time, I was working on optimizing autoscaling configurations as a step to enable Redshift Serverless. I also interned at NAND Capital, a trading startup, which was an exciting experience learning about financial markets. Here, I primarily researched and implemented options pricing models and ivol prediction. Finally, I interned at Yandex optimizing the logic for establishing TLS handshakes.
I grew up in Moscow, Russia.
- Guy Van den Broeck, , Maximilian Schleich and Dan Suciu.
On the Tractability of SHAP Explanations
In proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021.
AAAI Distringuished Papers Award
[ pdf ]