Yulia Malkova, Ph.D.
About Yulia Malkova, Ph.D.
Yulia Malkova, Ph.D., is an Associate Consultant currently working at Exponent and has a background in machine learning and physics. She has held various research and consulting positions in institutions such as Chubb, Drexel University, and the Keldysh Institute of Applied Mathematics.
Current Role at Chubb
Yulia Malkova, Ph.D., serves as a Machine Learning Engineer at Chubb since 2022. In this role, she applies her expertise in machine learning to enhance the company's technological capabilities. Her position is based in New Jersey, United States, where she has been contributing to various projects for two years.
Work at Exponent
Since 2023, Yulia Malkova has held the position of Associate Consultant at Exponent, located in the New York City Metropolitan Area. In this capacity, she leverages her extensive background in physics and engineering to provide consulting services, focusing on complex problem-solving and interdisciplinary collaboration.
Education and Expertise
Yulia Malkova completed her Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering at Drexel University from 2017 to 2022. Prior to this, she earned a Master's degree in Physics of Thermonuclear Reactors from the National Research Nuclear University 'MEPhI' between 2009 and 2015. Her academic background equips her with a strong foundation in both theoretical and applied sciences.
Previous Experience
Yulia Malkova has a diverse professional history. She worked as a Research Assistant at the Keldysh Institute of Applied Mathematics RAS in Moscow from 2013 to 2015. Additionally, she served as an Independent Consultant at Sony for ten months in 2018-2019 and held various roles at Drexel University, including Graduate Research Assistant and Graduate Teaching Assistant from 2017 to 2022.
Research and Collaboration Interests
Yulia Malkova has a strong interest in extending theories in physics and mathematics. She enjoys collaborating with scientists and engineers across various disciplines to develop skills and address new challenges. Her experience at institutions like the Russian Research Center 'Kurchatov Institute' further highlights her commitment to research and interdisciplinary teamwork.