Sid has spent the past five years working across computational chemistry, molecular dynamics research, and
applied machine learning. His experience includes contributions to scientific projects in structural
analysis and algorithm development, as well as the creation of production quality software used by large
audiences. Sid has developed analytical pipelines, automated modeling workflows, and tools for
interpreting complex scientific data. He brings a combination of technical depth and practical engineering
experience that supports rapid research and product development.
For the past several years, Arjun has focused on business development, early product growth, and strategic
partnership building. He co founded an educational technology company where he led a fifteen-person growth
team and scaled the platform to thousands of users. Arjun’s background includes managing fundraising
efforts and establishing new relationships with industry groups and academic partners. He brings a strong
execution mindset and a disciplined approach to driving external momentum for early stage companies.
Joseph is a computational chemist with expertise in molecular simulations, structural biology, and
bioinformatics. He has authored more than seven peer reviewed publications and has developed multiple
computational frameworks for conformational analysis, dimensionality reduction, and statistical modeling
in large molecular systems. His work includes significant contributions to antiviral research supported by
federal funding and the creation of tools adopted across academic laboratories. Joseph brings deep
experience in physical chemistry, scientific computing, and high performance molecular modeling.
