Leela Sriram Dodda
About Leela Sriram Dodda
Leela Sriram Dodda is the Director of Computational Chemistry at Nimbus Therapeutics, where she has worked since 2022. She has a strong background in computational chemistry, having held positions at VantAI and the National Institute of Science Education and Research, and she holds a PhD from Yale University.
Current Role at Nimbus Therapeutics
Leela Sriram Dodda serves as the Director of Computational Chemistry at Nimbus Therapeutics, a position she has held since 2022. In this role, she is based in Boston, Massachusetts, and works on-site. Her responsibilities include leading computational chemistry initiatives and contributing to drug discovery efforts. Dodda's expertise in computational methods enhances the company's research capabilities.
Previous Experience at VantAI
Before joining Nimbus Therapeutics, Leela Sriram Dodda worked at VantAI in New York. She held the position of Computational Chemist from 2020 to 2021, where she contributed to various projects in computational chemistry. Following this role, she was promoted to Head of Chemistry, serving for seven months in 2021. Her time at VantAI provided her with valuable experience in the application of computational techniques in the chemistry domain.
Educational Background in Chemistry
Leela Sriram Dodda completed her Integrated Master's in Chemistry at the National Institute of Science Education and Research in Bhubaneswar, India, from 2008 to 2013. She furthered her education by obtaining a Doctor of Philosophy (PhD) in Physical Chemistry from Yale University, where she studied from 2013 to 2018. This strong academic foundation in chemistry supports her professional work in computational chemistry.
Mentorship and Team Leadership
Leela Sriram Dodda has experience in mentoring teams within the field of computational chemistry. Her leadership skills contribute to the development of her team members and enhance collaborative efforts in research. This focus on mentorship aligns with her roles in various organizations, where she has guided teams in applying computational methods to solve complex scientific problems.
Expertise in Machine Learning and Drug Discovery
Dodda possesses extensive experience in machine learning and cloud-based infrastructure, particularly in the context of drug discovery. Her knowledge in these areas allows her to leverage advanced computational techniques to improve research outcomes. This expertise is crucial in the evolving landscape of drug development, where computational approaches play a significant role.