Summary
Tileli Amimeur is an AI scientist with 11 years of experience building data-driven machine learning and deep learning solutions, currently applying those skills at Xaira Therapeutics after leading ML-driven antibody and protein design at Novo Nordisk. He combines strong practical engineering (C/C++, Python, embedded systems) with advanced AI methods—GANs, Bayesian inference, reinforcement learning and POMDPs—to translate biological data into actionable designs and automated wet-lab tools. Notable projects include Antibody-GAN for customizable therapeutic discovery libraries, a DNN-based protein stability optimizer, and a Raspberry Pi–controlled vision colony picker that bridges CV and lab automation. His background in CPU/SOC power management and prior work at Intel, Bell Labs and NASA gives him a rare systems-level perspective on reliability and validation in regulated environments. Based in Seattle, he pairs academic rigor from the University of Texas and UW research with hands-on productization of ML models into experimental workflows.
11 years of coding experience
16 years of employment as a software developer
Master's degree Electrical Engineering, Master's degree Electrical Engineering at The University of Texas at Austin
English, French, Kabyle