Summary
Robert Lizatovic is a principal scientist in Malmö with eight years' experience applying classical and AI/ML methods to small-molecule and protein therapeutic discovery. He combines a PhD in computational protein design with hands-on development of generative molecular models, protein language models for antibody engineering, and ADME/developability predictors, bridging physics-based simulation and data-driven approaches. At Lundbeck he progressed from research roles to principal scientist, leading projects that turn advanced neural architectures into actionable lead design and optimization tools. Previously he built production ML systems, ETL pipelines and user-facing tools in industry settings including game studio Massive Entertainment and biotech Novozymes, giving him a strong productionization and software-engineering mindset uncommon in computational chemistry. He pairs domain depth with practical engineering—shipping end-to-end ML systems and cheminformatics platforms that accelerate biologics and small-molecule programs.
8 years of coding experience
8 years of employment as a software developer
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at Udacity
Doctor of Philosophy (PhD), Chemistry (Computational Protein Design and Structure Prediction), Doctor of Philosophy (PhD), Chemistry (Computational Protein Design and Structure Prediction) at Lund University
Master of Engineering (M.Eng.), Process Engineering, Master of Engineering (M.Eng.), Process Engineering at Faculty of Technology, University of Novi Sad
English, Swedish, Serbian