Tristan Kalloniatis
About Tristan Kalloniatis
Tristan Kalloniatis is a Research Engineer currently employed at InstaDeep Ltd in London, England. He previously worked as a Quantitative Researcher at G-Research and holds a Ph.D. in Mathematics from King's College London.
Work at InstaDeep
Tristan Kalloniatis has been employed at InstaDeep Ltd as a Research Engineer since 2020. His role involves applying advanced mathematical techniques and research methodologies to develop innovative solutions in the field of artificial intelligence. InstaDeep is known for its focus on machine learning and reinforcement learning, aligning with Kalloniatis's expertise in these areas.
Previous Experience at G-Research
Prior to his current position, Tristan Kalloniatis worked at G-Research as a Quantitative Researcher from 2016 to 2020. During his four years in this role, he was involved in developing quantitative models and strategies, contributing to the firm's reputation as a leader in quantitative finance. His experience at G-Research provided him with a strong foundation in data analysis and algorithm development.
Education and Expertise
Tristan Kalloniatis holds a Doctor of Philosophy (Ph.D.) in Mathematics from King's College London, where he studied from 2011 to 2015. He also earned a Master’s Degree in Mathematics from Queens' College, Cambridge, completing his studies there in 2011. His academic journey began with a Bachelor’s Degree in Mathematics from the same institution, which he obtained in 2010. This extensive educational background equips him with a deep understanding of mathematical principles and their applications.
Research Contributions
Tristan Kalloniatis contributed to the research paper titled 'Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX,' which was presented at ICLR 2024. This work highlights his involvement in cutting-edge research in reinforcement learning, showcasing his commitment to advancing knowledge in the field.