Summary
Julian Alverio is a senior AI scientist and Member of Technical Staff with ~10 years of experience building and shipping advanced ML systems at the intersection of generative AI and structural biology. An MIT-trained researcher and engineer, he has led teams to develop state-of-the-art inverse folding and antibody design models that produced in vitro binders and informed screening libraries for partner programs. He combines deep research in reinforcement learning, graph and geometric deep learning, and transformers with pragmatic engineering—establishing department-wide best practices and productionized biophysical filters used in drug discovery workflows. Known for rapid execution and cross-functional leadership, he’s repeatedly promoted for driving high-impact results and restoring critical infrastructure under pressure. Julian’s background spans robotics, protein engineering, and LLMs, giving him a rare ability to translate foundational research into deployable AI tools for biotech.
10 years of coding experience
10 years of employment as a software developer
Masters of Engineering, Artificial Intelligence, Masters of Engineering, Artificial Intelligence at Massachusetts Institute of Technology
Spanish, English