Diego Toribio is completing his Master’s in Electrical Engineering at The Cooper Union, where his thesis focuses on data- and sample-efficient reinforcement learning, advised by Sam Keene. His work includes building production ML infrastructure for document understanding, interactive installations, and reinforcement learning agents trained through self-play.
Currently
- finishing Master’s thesis on learning Atari from limited data
- building document processing systems and ML platform infrastructure @ Konsilix
Education
The Cooper Union for the Advancement of Science and Art
Major: Electrical Engineering
Master of Engineering (Expected 2026)
Thesis: Data- and Sample-Efficient Reinforcement Learning
Coursework: Deep Learning, Reinforcement Learning, Natural Language Processing, Generative Machine Learning, Cloud Computing
Bachelor of Engineering (2025)
Track: Computer Engineering
Coursework: Operating Systems, Databases
Merit Scholarship: Full-tuition
4+ Accelerated Program