Nick Venanzi

Nick Venanzi is a solutions architect in AI Drug Discovery at NVIDIA, specializing in applying advanced machine learning and data science methods to protein engineering and computational drug design. He completed his PhD in AI for protein engineering at University College London, where his research involved leveraging machine learning for protein optimization and biological sequence analysis. Nick's previous roles have spanned the biotech startup scene and academia, including work on AI-driven drug discovery and founding engineering for startups. He was previously a trained chemist and worked at St George's Hospital in the UK as an analytical chemist, bringing valuable laboratory experience to his later work in computational science.
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Posts by Nick Venanzi

Data Science

Training Federated AI Models to Predict Protein Properties

Predicting where proteins are located inside a cell is critical in biology and drug discovery. This process is known as subcellular localization. The location... 5 MIN READ