Ramin Ekhteiari Salmas

With over 15 years of experience in computational chemistry and biology, I specialize in leveraging AI-based methods to solve complex scientific problems.

Currently working on a UK Biobank genomics study, applying bioinformatics techniques to analyze genomic data and contribute to research in thrombosis.

Led research in the Department of Engineering Mathematics, focusing on the development of computational methods for protein modeling.

Developed computational methods for modeling protein isotope exchange dynamics, contributing to advancements in protein research.

Conducted independent research on Dopamine D2 inhibitors in collaboration with universities and research institutes.

Worked on drug discovery projects, applying computational methods to identify potential drug candidates.

Studied Poly (ADP-ribose) polymerase (PARP) inhibitors, contributing to cancer research through computational and experimental methods.

Conducted research on simulating ion-exchange rates inside zeolites, contributing to advancements in material science.

Lectured on quantum chemistry, sharing knowledge and expertise with students in the field of chemistry.

Completed a PhD in Bioinformatics & Physical Chemistry, focusing on the application of mathematical and statistical approaches to biological research.

Obtained a Bachelor of Science in Chemistry, providing a solid foundation in chemical sciences and laboratory techniques.

Earned a Master of Science in Physical Chemistry, gaining in-depth knowledge in chemical principles and research methodologies.

PhD in bioinformatics and computational biology focusing on the application of computational techniques to biological data.