Summary
Tewodros Ayalew is a PhD student in Computer Science at the University of Chicago specializing in human-robot interaction, bringing a decade of experience in applied machine learning across academia and industry. He has practical ML engineering experience from roles at the Global Institute for Food Security, Honda R&D collaboration, and research positions at the University of Saskatchewan, bridging research rigor with production-minded implementation. Comfortable teaching and mentoring from earlier assistant lecturer and TA roles, he combines strong software engineering roots from his software engineering degree with advanced research at UChicago’s RIPL lab and TTIC. Notably, his background spans interdisciplinary applications—from food security to automotive R&D—demonstrating an ability to adapt ML methods to real-world, domain-specific problems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Software Engineering, Bachelor of Science - BS, Computer Software Engineering at Addis Ababa University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Chicago
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Saskatchewan
Amharic, English