Dr. Yana Volkovich is a Principle Data Scientist Manager at Microsoft Advertising. She is leading Identity, Mediation and Video work streams: supervising projects such as Cross Device Graph, Future Ad Id solutions, Cookieless Optimization and Measurement.
Before joining Xandr, Yana was a Senior Scientiast at Eurecat, one of the largest Technology Centers in Spain. In 2014 she was the visiting Marie Curie Research fellow at Cornell Tech. She received her PhD in Applied Probability from the University of Twente (the Netherlands) and her MSc (summa cum laude) in Computer Science from the Saint Petersburg State University (Russia). She graduated from the Saint Petersburg Lyceum 239, ranked the best high school in Russia.
Yana's research interests include Graph theory, Machine/Deep Learning, Computational Social Science, and Heavy-tailed distributions. Dr. Volkovich has served as a senior/program committee member in a number of top scientific conferences (KDD 2022, 2020-18, WWW 2021-18, RecSys 2020-18, ic2s2 2020-10, ICWSM 2016-12, AdKDD 2022, 2020-18, LocWeb 2021-15, WAW 2023, 2020-09, IEEE CryptoEx 2023) and as a reviewer for scientific journals in the fields of Probability, Computer Science, and Computational Social Science. Her publications could be found on Google Scholar.
Yana speaks 5 languages: Russian, English, Spanish, Dutch, and Catalan.
Price Arbitrage for DeFi Derivates got accepted to IEEE CryptoEx 2023 (March, 2023).
We have our Line item-based audience extension patent granted (August, 2022).
Check out our On the topic of Topics blog post about deconstructing and analyzing the Topics API, a part of a series of browser APIs Google Sandbox.
I was selected among 20 Top Women in Media & Ad Tech to Look Out For by AdMonsters (June, 2022).
I am honored to be recognized by AdExchanger and AdMonsters as a Top Women in Media & Ad Tech 2022 Honoree in Data Demystifiers category. (May, 2022).
Check out my Ad Tech DeFi blog post where I explore how a new Ad Tech ecosystem might look in the near future (operating in Web 3.0) and discuss a vision in which Ad Tech products become available on a decentralized public blockchain network.
20 Top Women in Media & Ad Tech to Look Out For (AdMonsters, June 2022)
AdExchanger and AdMonsters Top Women in Media & Ad Tech 2022 Honoree in Data Demystifiers category. (May, 2022)
Medium @ Xandr Tech
ElasticNet4j: A Performant Elastic Net Logistic Regression Solver in Java
Lessons Learned from Building Scalable Machine Learning Pipelines