Yulia Malkova PhD, Cfei
About Yulia Malkova PhD, Cfei
Yulia Malkova, PhD, Cfei, is an Associate Consultant at Exponent, specializing in technical litigation support and data science. She has a strong background in machine learning and electrical engineering, with experience in various research and consulting roles across multiple organizations.
Work at Exponent
Yulia Malkova currently serves as an Associate Consultant at Exponent, a position she has held since 2023. In this role, she engages in technical litigation support, providing scientific expertise for legal matters, including Intellectual Property cases. Malkova has participated in 35 projects as an Associate Consultant, showcasing her proficiency in data science and electrical engineering. Her work involves developing risk assessment models and conducting time series analysis to enhance electric grid infrastructure efficiency.
Education and Expertise
Yulia Malkova earned her Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from Drexel University, where she studied from 2017 to 2022. Prior to that, she obtained a Master's degree in Physics of Thermonuclear Reactor from the National Research Nuclear University 'MEPhI,' completing her studies from 2009 to 2015. Malkova has a strong foundation in machine learning, data analysis, and natural language processing, skills that she developed during her PhD research and previous roles.
Background
Yulia Malkova has a diverse professional background, having worked in various roles across multiple organizations. She served as a Graduate Research Assistant and Graduate Teaching Assistant at Drexel University from 2017 to 2022. Additionally, she held positions as a Machine Learning Engineer at Chubb from 2022 to 2023 and as a Technical Consultant at Bovie Medical Corporation for a brief period in 2017. Her earlier experience includes research assistant roles at the Russian Research Center 'Kurchatov Institute,' Keldysh Institute of Applied Mathematics RAS, and the National Research Nuclear University MEPhI.
Achievements
During her career, Yulia Malkova has made significant contributions to various projects. Notably, she designed reusable workflow components in FOUNDRY's Workflow Engine, which led to a 10% improvement in data accuracy. Additionally, she developed risk assessment models that optimized electric grid infrastructure, resulting in a 20% boost in efficiency. Her work reflects her expertise in technical litigation support and her ability to apply scientific principles to real-world challenges.