Antonis Antoniades

While studying Physics at the University of California, Santa Barbara, I became interested in the connection between biological and artificial intelligence, and in particular how they could interact across multiple levels of abstraction. My research led me to pursue a PhD in Computer Science at UCSB, co-advised by Dr. William Wang (CS, UCSB NLP Group) and Dr. Spencer LaVere Smith (SLAB Neuroscience & Neuroengineering Lab).

My current research focuses include:

1. Open-ended systems, with emphasis on developing robust dynamic planning approaches and exploring self-assembling capabilities that can adapt across diverse tasks.

2. Bio-inspired and cognitive approaches to machine learning, particularly investigating neuromorphic computing architectures and collective intelligence.

3. Understanding fundamental principles that enable complex skills in Large Language Models, including exploring their generalization boundaries and implicit vs. explicit reasoning capabilities.

In terms of industry, I particularly enjoyed my internship at Leela AI, working on multi-agent reinforcement learning. I also lead the development of Calibrex, a product aiming to democratize data-driven resistance training.

Another big part of who I am is a guitar player 🎸 - which is probably what I am most talented at. Some of my other interests include swimming, surfing, gaming, photography, reading, meditation and chess.