Elena Boiarskaia
About Elena Boiarskaia
Elena Boiarskaia is the Head of Applied Machine Learning at Snorkel AI, a position she has held since 2024. She has extensive experience in data science and solution architecture, having previously worked at Tempus Labs, Inc. and the Financial Industry Regulatory Authority (FINRA).
Work at Snorkel AI
Elena Boiarskaia serves as the Head of Applied Machine Learning at Snorkel AI, a position she has held since 2024. In this role, she leads initiatives focused on applying machine learning techniques to enhance data labeling processes and improve model performance. Her expertise contributes to the development of innovative solutions that leverage Snorkel's technology to address complex data challenges.
Previous Experience at Tempus Labs, Inc.
Before joining Snorkel AI, Elena worked at Tempus Labs, Inc. as the Director of Solution Architecture from 2021 to 2024. In this capacity, she oversaw the design and implementation of data-driven solutions in the healthcare sector, focusing on integrating advanced analytics and machine learning to support clinical decision-making.
Career at FINRA
Elena has significant experience in the financial sector, having worked at the Financial Industry Regulatory Authority (FINRA) in various roles. She served as a Psychometrician from 2013 to 2017 and later as a Lead Data Scientist from 2017 to 2018. Her work involved applying statistical methods and data analysis to enhance regulatory processes and improve assessment methodologies.
Education and Expertise
Elena Boiarskaia holds a Bachelor of Arts in Mathematics and Economics from the University of Miami, earned in 2007. She furthered her education at the University of Illinois Urbana-Champaign, where she obtained a Master of Science in Economics in 2009 and is currently pursuing a Doctor of Philosophy in Measurement and Evaluation, which she began in 2016. Her academic background supports her expertise in data science and machine learning.
Professional Background
Elena's professional journey includes roles at several prominent organizations. She worked as a Senior Technical Solutions Engineer at Databricks from 2018 to 2019 and as a Senior Data Scientist at H2O.ai from 2019 to 2021. Her diverse experience spans across data science, solution architecture, and psychometrics, providing her with a comprehensive understanding of data-driven technologies and their applications.