Ashan Dayananda Email & Phone Number

Columbus, Oh, Us

Silver Spring, Maryland, United States

In support of the Military HIV Research Program (MHRP) at the Walter Reed Army Institute of Research Laboratory of Integrative Multiomics (LIM)• Developed advanced machine learning models incorporating Explainable AI (XAI) to predict clinical outcomes and pinpoint key clinical data predictors, enhancing their utility as biomarkers and improving analysis accuracy• Utilize scRNA-seq and bulk genomics data for a comprehensive analysis, including cell clustering, differential gene expression, functional pathway enrichment, and other downstream analyses to elucidate cellular heterogeneity and gain deeper insights into biological processes.• Employ deep learning algorithms (autoencoders) and classifiers to identify and characterize novel immune cell subpopulations from transcriptomics data, contributing to advancements in disease understanding.

United States

Prof. George Stan's LabThesis Title: Probing Asymmetric Conformational Dynamics and Allosteric Regulation of Clp BiologicalNanomachines Using Machine Learning and Molecular Dynamics Simulations• Conducted comprehensive research on protein nanomachines, specifically analyzing ClpB and ClpP functions to advance understanding of cellular regulatory mechanisms.• Investigated the substrate translocation mechanism within ClpB, and implemented a mathematical model for calculating loop relaxation times, enhancing the predictive analysis of protein dynamics.• Created a machine learning-based classification model employing Explainable AI (XAI) techniques to identify key structural features and hot-spot residues essential to the protein’s allosteric network.

Build and Refine Molecular Mechanical and Quantum Mechanical Workflows for In-HouseCheminformatics Platform:Collaborated in designing a pipeline to generate 3D conformers from SMILES notation and formulated an automated quantum mechanical workflow to optimize the molecules.Project Mentors: Dr. Peter Koenig, Dr. David Eike, and Mike Schmidt

Sri Lanka

Dr. Ranga S. Jayakody lab• Rationalizing the In silico Modifications of Linamarin into Effective Anti-cancer Drugs: Computer-aided drug discovery tools were used to design and test a novel drug molecule using the Linamarin molecule with an increased turnover for hydrolysis and higher affinity to the enzyme Linamarase.

Doctor Of Philosophy - Phd, Chemistry

Bachelor Of Science - Bs, Chemistry