Nick Venanzi

Nick completed his Ph.D. in AI for protein engineering at University College London, following a Master's in drug discovery from Imperial College London. With a background in chemistry, he specializes in data science workflows for protein engineering and drug discovery. Nick's expertise spans machine learning techniques, including scikit-learn, XGBoost, and GNNs, with a focus on hyperparameter optimization and applying both shallow and deep learning models to complex biological problems. His experience in startups has involved implementing cutting-edge data science solutions in computational drug design and protein optimization.