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As a Principal Computational Chemist at Pledge Therapeutics, I lead a team of two scientists (and research associates as needed) in developing innovative and scalable solutions for small molecule drug discovery using physics-based methods, machine learning, and cheminformatics. With over seven years of experience in computational chemistry and molecular biophysics, including a PhD in Theoretical Chemistry from Boston University, I have a strong background in applying MD, MC, and QM methods in high-performance computing environments, and developing statistical methods and cheminformatics algorithms in Python frameworks to investigate protein-protein, protein-lipid, and protein-small molecule interactions.My current projects include developing a ML-driven co-crystal structure property-based flexible pharmacophore method, an AI and Bayesian inference augmented extension to the hybrid GPU/CPU-based virtual screening platform and optimizing the lead generation platform for high-throughput screening assays. I am passionate about leveraging computational and data-driven approaches with tight coupling to experimental data to accelerate the discovery and optimization of novel and effective therapeutics for various diseases.
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Lead Computational ChemistPledge AiCanton, Ma, Us -
Principal Computational ChemistPledge Therapeutics Oct 2022 - PresentCanton, Ma, Us- Managing two direct reports: an AI/ML Scientist and a Postdoctoral Associate in QM/MM applications. - Developing a ML-driven co-crystal structure property-based flexible pharmacophore method with pharmacophore alignment and comparison capability.- Developing AI and Bayesian Inference (experimental) augmented extension to the current hybrid GPU/CPU-based Giga-scale virtual screening platform to improve accuracy and access Tera-scale synthetically accessible "Chemverse".- End-to-end Optimizations of lead generation platform (Protocol optimization of Opteron-Robotics at the HTS assay level and Noise reduction filter implementation for Differential Scanning Fluorometry Screens (DSF) | Chemical Library design, Cheminformatics, and ML models for DNA Encoded Library Screens (DEL) | Data analysis and predictive model development for Calorimetric (ITC) Surface Plasmon Resonance (SPR), Microscale Thermophoresis (MST) and Mass-Spec (MS)-based readouts).- Developing Deep-learning, and cheminformatics methods for improving in-silico characterization of ligand-protein interaction of novel anti-viral and immune-oncology targets with sparse structural data.- Molecular modeling, Molecular simulations (AA/CG MD, REMD, MC), and Stat-Mech-based method development to compute relative and absolute binding free energies in protein-protein and protein-ligand complexes. -
Computational ChemistPledge Therapeutics Jan 2021 - Oct 2022Canton, Ma, Us- Implementing and optimizing hybrid CPU / GPU-based, massively parallel, virtual ligand screening platform with the capability of screening billion scale ligand libraries. - Implementing and automating data analysis pipelines for high-throughput screening platforms (DEL, CETSA, DSF).- Assessing and utilizing ML, Deep-learning, and cheminformatics based techniques in the elucidation of small molecular structure activity relationships with disease relevant protein targets.- Molecular modeling, Molecular simulations and Statistical Mechanics based characterization of protein-protein and protein-ligand interactions. -
Postdoctoral Research Associate, Computational ChemistOrthogon Therapeutics Feb 2020 - Jan 2021Canton, Ma, UsSupporting drug discovery efforts by applying computational chemistry approaches such as ligand docking, molecular dynamics simulations, pharmacophore modeling, QSAR/ADMET models, and small-scale library design. -
Postdoctoral Research Fellow At Department Of Chemistry - Boston UniversityBoston University Nov 2019 - Feb 2020Boston, Ma, UsDeveloping highly parallelized small and macro-molecular property analysis and data visualization algorithms for Big-Data sets generated from long timescale scale MD simulations.Long-timescale fully atomistic MD simulations of transmembrane proteins in raft-like membranes probing the fundamental driving forces of protein migration. -
Graduate Research FellowDepartment Of Chemistry - Boston University Sep 2014 - Nov 2019Computational Chemistry and Biophysics Research - Straub Lab, BUExpertise in high-performance computing environments: CPU-Clusters, GPU-clusters, Cloud-Systems and Application-specific integrated circuits (ASICs).First-ever fully atomistic modeling of de-novo lipid phase separation in raft-like membranes using millisecond timescale MD simulations in Anton-2 ASIC.Applications of all-atom, coarse-grained, and ultra-coarse-grained molecular dynamics simulation in complex membrane-protein systems relevant to Alzheimer’s diseases.Designing pattern recognition algorithms in soft matter systems: application in domain boundary detection in lipid membranes.Probing lipid and cholesterol dynamics in complex lipid membrane environments.Identifying cholesterol and sphingomyelin aggregate structure ensemble in membrane mimetic environments. Atomistic modeling of de novo lipid phase separation in ternary lipid mixtures.Investigating protein migration and colocalization in lipid raft mimicking membrane environments.Extracting mechanical and interfacial properties of heterogeneous lipid membranes through a combination of theoretical formulations and computational algorithms.Modeling artificial virus nanoparticle surfaces to examine lipid-mediated virus-cell interactions.Parameter development for novel classes of biomolecules – sulfated Poly-amido-saccharides.
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Graduate Teaching FellowDepartment Of Chemistry - Boston University Aug 2014 - Nov 2019Undergraduate Teaching at BU Chemistry Department.
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ScientistNational Building Research Organisation May 2014 - Jul 2014Verification and Validation of current Air Quality monitoring methods.
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Assistant LecturerDepartment Of Chemistry , University Of Colombo Apr 2013 - Jan 2014Tutorial conduction and Laboratory coordination for the undergrads in the Department of Chemistry. Assisting Masters Programs in Analytical and Organic Chemistry.
Asanga Bandara Skills
Asanga Bandara Education Details
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Boston University Graduate School Of Arts & SciencesTheoretical Chemistry -
Boston University Graduate School Of Arts & SciencesTheoretical Chemistry -
University Of ColomboSpecial Degree In Computational Chemistry
Frequently Asked Questions about Asanga Bandara
What company does Asanga Bandara work for?
Asanga Bandara works for Pledge Ai
What is Asanga Bandara's role at the current company?
Asanga Bandara's current role is Lead Computational Chemist.
What is Asanga Bandara's email address?
Asanga Bandara's email address is em****@****ail.com
What is Asanga Bandara's direct phone number?
Asanga Bandara's direct phone number is +161782*****
What schools did Asanga Bandara attend?
Asanga Bandara attended Boston University Graduate School Of Arts & Sciences, Boston University Graduate School Of Arts & Sciences, University Of Colombo.
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Asanga Bandara has interest in Children, Civil Rights And Social Action, Education, Environment, Science And Technology, Disaster And Humanitarian Relief, Arts And Culture, Health.
What skills is Asanga Bandara known for?
Asanga Bandara has skills like Science, Computational Chemistry, Physics, Research, Spectroscopy, Matlab, Statistics, Nanotechnology, Bioinformatics, Uv/vis, Java, Hplc.
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