Itamar Chinn

Co-authored a paper published in Science describing ProtGPS, a deep learning model capable of predicting and generating protein localization within cells, suggesting a previously unrecognized code governing protein distribution.

Co-authored a publication on CLIPZyme, a method for reaction-conditioned virtual screening of enzymes.

Co-authored a paper introducing Boltz-1, an open-source AI model designed to achieve high accuracy in predicting 3D structures of biomolecular complexes, significantly accelerating drug discovery and biomedical research.

Master's thesis exploring the application of deep learning for modeling and understanding metabolic processes.

Co-authored a Nature Communications paper demonstrating programmable fibers capable of embedding digital electronic functions into textiles, enabling novel applications in wearable technology and communication.