Amal Jayawardena
- amal.jayawardena@student.unimelb.edu.au
- Desk 1.119, Level 1, Melbourne Connect
Thesis Title
Machine learning accelerated inverse design of structurally nano engineered polypeptides to defeat superbugs.
Research overview
Structurally nano engineered polypeptides (SNAPPs) are an antibacterial drug found by the University of Melbourne researchers. My research focuses on designing SNAPPs using computational chemistry tools and helping the experimental researchers to understand the atomistic level dynamics of the SNAPPs with multi drug resistant bacteria. Furthermore, I am planning on developing a machine learning optimisation algorithm with the computational data obtained from the model, to optimise the design of SNAPPs.
Supervisors
Dr Andrew Hung
Qualifications
B.Sc. (Hons) Mechanical Engineering, Brigham Young University, USA (2020)