Ivan Sergeyev
About Ivan Sergeyev
Ivan Sergeyev is a Principal Scientist in Computational Chemistry with a strong background in biochemistry and chemistry. He has worked at various institutions, including Bristol Myers Squibb and ROME Therapeutics, and has contributed significantly to NMR techniques and software development.
Current Position at ROME Therapeutics
Ivan Sergeyev serves as Principal Scientist in Computational Chemistry at ROME Therapeutics, a position he has held since 2023. In this role, he focuses on advancing computational methods to support therapeutic development. His expertise in computational chemistry aids in the design and optimization of drug candidates, contributing to the company's mission of developing innovative therapies.
Previous Experience at Bristol Myers Squibb
Prior to his current role, Ivan worked as a Principal Scientist at Bristol Myers Squibb from 2021 to 2023 in Cambridge, Massachusetts. His responsibilities included leading research initiatives that leveraged his extensive background in computational chemistry and NMR techniques to enhance drug discovery processes.
Education and Expertise
Ivan Sergeyev obtained his Bachelor of Science in Biochemistry from the University of the Sciences in Philadelphia, where he studied from 2002 to 2005. He later earned his PhD in Chemistry from Columbia University in the City of New York, completing his studies from 2006 to 2012. His educational background provides a strong foundation for his research in computational chemistry and NMR methodologies.
Research and Development Contributions
Throughout his career, Ivan has made significant contributions to NMR hardware development and maintenance. He has developed methods for NMR structural elucidation, quantification, and NMR crystallography of pharmaceuticals. His work has played a role in the rapid expansion of dynamic nuclear polarization (DNP) and low-temperature NMR techniques, enhancing their application in the pharmaceutical industry.
Technical Skills and Software Development
Ivan possesses strong skills in de novo software development and user interface design. He has extensive familiarity with UNIX systems, including security and system administration of distributed networks. His technical skills complement his research capabilities, allowing him to effectively integrate computational tools into scientific workflows.