Summary
Andrés Poyatos is a university lecturer and postdoctoral AI researcher based in Granada with 11 years of experience bridging theoretical computer science and applied machine learning. He holds a DPhil from Oxford (DeepMind-Oxford scholar) and focuses on the mathematical foundations of ML, including randomized algorithms, computational complexity, and provable aspects of transformer architectures. His work spans both theory and practice—safety and security of LLMs, early crop disease detection, and wood species classification—resulting in nine journal publications. Aside from academia, he’s an experienced tutor in probability and computing and brings a practical engineering mindset from earlier algorithmic and C++ optimization work on timetabling and vehicle scheduling. Off the clock he channels analytical curiosity into board games and was president of Oxford’s blind-tasting society, hinting at a taste for structured experimentation beyond code.
11 years of coding experience
5 years of employment as a software developer
DPhil Computer Science, DPhil Computer Science at University of Oxford
Bachillerato tecnológico, Bachillerato tecnológico at IES Trevenque
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Universidad de Granada
Spanish, English