Khrystofor Khokhlov
About Khrystofor Khokhlov
Khrystofor Khokhlov is a PhD graduate student at the Broad Institute of MIT and Harvard, specializing in computational chemistry. He has a strong academic background in chemistry, having earned degrees from MIT and Columbia University, and is focused on applying machine learning techniques to healthcare and life sciences.
Work at Broad Institute
Khrystofor Khokhlov currently works at the Broad Institute of MIT and Harvard as a PhD Graduate Student in the Getz lab. He has been in this position since 2023. Prior to this role, he completed a rotation at the Broad Institute, working in both the Getz lab and the Peng lab from 2022 to 2023. His involvement in these labs focuses on computational methods and their applications in biological research.
Education and Expertise
Khrystofor Khokhlov has an extensive educational background in chemistry. He is currently pursuing his PhD at the Massachusetts Institute of Technology, where he has been studying since 2019. He also earned a Master of Science in Chemistry from MIT, completing his studies in 2023. His undergraduate education includes a Bachelor of Arts in Chemistry from Columbia University, which he completed in 2019. He graduated as valedictorian from Kiev Natural Sciences Lyceum #145, focusing on math and physics.
Research Focus
Khrystofor Khokhlov's research is centered on understanding the limitations and benefits of various computational methods. He has a keen interest in modeling biological processes through computational chemistry techniques. His work aims to integrate machine learning techniques to address challenges in healthcare and life sciences, reflecting a commitment to advancing research in these fields.
Previous Experience at MIT
Before his current role at the Broad Institute, Khrystofor Khokhlov worked as a PhD Graduate Student in the Johnson lab at the Massachusetts Institute of Technology from 2019 to 2022. This three-year experience contributed to his foundational knowledge and skills in chemistry and research methodologies.