Antonis Antoniades
PhD Student, Computer Science, UCSB
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 šø - 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! š |
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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. š¤ |
Jun 5, 2023 | I have received a summer CS Department Fellowship award to continue my research at UCSB! š |
Jan 21, 2023 | Our abstract, on training multimodal tranformers on neuroscience experiments has been accepted to COSYNE 2023! š |
Oct 22, 2022 | Iām continuing my time at UCSB as a PhD student in Computer Science, co-advised by Dr. William Wang and Dr. Spencer LaVere Smith! š |