Conor Hayes

Research Scientist at Cognizant AI Lab

San Francisco Bay Area, United States

Overview

Conor Hayes is a Research Scientist at the Cognizant AI Lab with deep expertise in reinforcement learning and large language models. He earned his Ph. D. from the University of Galway, and his work often focuses on multi-objective decision making. He previously served as a Staff Research Scientist at Lawrence Livermore National Laboratory.

There is no publicly available information regarding Conors personal life or hobbies.

His research has explored novel methods like using evolution strategies for fine-tuning large language models, aiming to improve efficiency and reduce training costs compared to traditional approaches.

Topics They Care About

Multi-Objective RL
This is the primary focus of his PhD and numerous publications, signifying a core area of his professional expertise and research.
LLM Fine-Tuning
He co-authored recent, groundbreaking research on using Evolution Strategies to fine-tune LLMs, moving beyond standard reinforcement learning techniques.
Open-Ended Learning
Explicitly listed as one of his main research interests, showing a focus on creating more adaptive and continuously learning AI systems.

Media Appearances

Conor has no verified media appearances

Work History

6-2025
Research Scientist at Cognizant AI Lab
8-2024 - 6-2025
Staff Research Scientist at Lawrence Livermore National Laboratory
2-2023 - 8-2024
Postdoctoral Researcher at Lawrence Livermore National Laboratory
5-2015 - 8-2018
Software Engineer at TQS Integration Ltd.
4-2013 - 8-2013
Software Engineer Intern at TQS Integration Ltd.

Education

2019 - 2023
Doctor of Philosophy - PhD from University of Galway
2018 - 2019
MSc in Computer Science from University of Galway

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Exp : 6 Location : San Francisco Bay Area, United States Job Level : N/A Designation : Research Scientist at Cognizant AI Lab
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