PROFESSIONAL PROFILE PhD computational and medicinal chemist with 25 years of pharma/biotech/CRO-based drug discovery experience, and track-record of leading/contributing to research projects in variety of therapeutic areas (immunomodulation, CNS, inflammation, oncology, fibrosis, infection) from early hit finding phase to late lead optimization and PCC nomination. SKILLS Computational chemistry expertise: Structure-based drug design - homology modelling, virtual screening and docking studies, molecular dynamics, de-novo design, QM and QM/MM calculations Ligand-based drug design - virtual library design, field-based analysis, pharmacophore searches, scaffold hopping, bioisosteric replacement, conformational analysis, FBDD Cheminformatics - data mining, data analysis, 2D/3D QSAR/QSPR, R-group analysis, activity cliffs analysis, multivariate statistics, ADME predictions Medicinal chemistry expertise: Experience in immunomodulation, anti-inflammatory, anti-infective, CNS and oncology therapeutic areas from hit finding to lead-optimization stage. Range of biological targets from kinases, GPCRs, transporters, epigenetic targets to protein-protein interactions. Beyond the rule of 5 molecules: Design, conformational analysis and ADME/PK predictions for the natural products and macrocyclic molecules. Studies of chameleonic properties and disruption of protein-protein interactions. Managing and leading projects and teams: Experience in leading integrated drug discovery projects, managing teams of up to 35 people, mentoring and coaching master and PhD students, continuous education of medicinal chemists in applying CADD tools, strong focus on developing and inspiring team members to achieve best performance.