Antonis Antoniades

PhD Student, Computer Science, UCSB

prof_pic.jpg
Henley Hall
Santa Barbara
California

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 Spencer Smith (SLAB Neuroscience & Neuroengineering Lab).

My current research focuses are 1) Building LLM-equivalent models of the brain, and using these models to understand the brain and build better AI. 2) Understand and formalize the inner workings of LLMs.

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 šŸŽø - which is probably what I am most talented at. Some of my other interests include swimming, surfing, gaming, photography, reading, meditation and chess.

news

Jun 19, 2023 Our paper Neuroformer: Multimodal and Multitask Generative Pretraining For Brain Data has been accepted to ICLR 2024. Vienna here we come! šŸ˜Ž
Jun 19, 2023 Our short paper on Generating Global Factual and Counterfactual Explanations for Molecules under Domain Constraints has been accepted to IMLH. Excited to continue working on this project with the team. šŸ¤—
Jun 5, 2023 I have received a summer CS Department Fellowship award to continue my research at UCSB! šŸ˜
Jan 21, 2023 Our abstract, on training multimodal tranformers on neuroscience experiments has been accepted to COSYNE 2023! šŸŽ‰
Oct 22, 2022 Iā€™m continuing my time at UCSB as a PhD student in Computer Science, co-advised by Dr. William Wang and Dr. Spencer LaVere Smith! šŸŒŠ