Yulia Malkova, Ph.D, Cfei
About Yulia Malkova, Ph.D, Cfei
Yulia Malkova, Ph.D, Cfei, is an Associate Consultant at Exponent, specializing in technical litigation support and data science. She holds a Ph.D. in Electrical and Electronics Engineering from Drexel University and has extensive experience in research and engineering roles across various institutions.
Work at Exponent
Yulia Malkova has been serving as an Associate Consultant at Exponent since 2023. In this role, she has engaged in 35 projects, showcasing her expertise in data science and electrical engineering. Malkova specializes in technical litigation support, providing scientific assistance for legal matters, including those related to Intellectual Property. Her work includes the development of risk assessment models and conducting time series analysis to enhance electric grid infrastructure, achieving a 20% improvement in efficiency.
Education and Expertise
Yulia Malkova earned her Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Drexel University, completing her studies from 2017 to 2022. Prior to this, she obtained a Master's degree in Physics of Thermonuclear Reactor from the National Research Nuclear University 'MEPhI' between 2009 and 2015. Malkova's academic background is complemented by her foundational education at School 654, where she studied math, physics, and informatics from 1999 to 2009.
Professional Background
Before joining Exponent, Yulia Malkova held various positions that contributed to her professional development. She worked as a Machine Learning Engineer at Chubb for seven months in 2022-2023 and as an Independent Consultant at Sony for ten months in 2018-2019. Malkova also served as a Graduate Research Assistant and Graduate Teaching Assistant at Drexel University from 2017 to 2022, where she was involved in both research and teaching activities. Additionally, she gained research experience at the Keldysh Institute of Applied Mathematics RAS and the Russian Research Center 'Kurchatov Institute' in Moscow.
Research Contributions
Yulia Malkova has made significant contributions to research in her fields of expertise. She has multiple peer-reviewed publications focusing on robotics, image processing, and soft tissue modeling. Her research endeavors reflect her commitment to advancing knowledge and technology in these areas, further establishing her as a knowledgeable professional in the engineering and data science sectors.