Kamilė Lukošiūtė
About Kamilė Lukošiūtė
Kamilė Lukošiūtė is an AI Security Researcher with a strong academic background in physics and computer science. She has studied at prestigious institutions including UCL, the University of Amsterdam, MIT, and Wellesley College, and has held research positions at Fermilab and Anthropic.
Current Role at Robust Intelligence
Kamilė Lukošiūtė serves as an AI Security Researcher at Robust Intelligence, a position she has held since 2024. Located in the San Francisco Bay Area, she focuses on enhancing security measures within artificial intelligence systems. Her role involves researching and developing strategies to mitigate risks associated with AI technologies.
Education and Academic Background
Kamilė Lukošiūtė has an extensive academic background in physics and computer science. She studied at Wellesley College, earning a Bachelor’s Degree with Honors in Physics from 2015 to 2019. She then attended the Massachusetts Institute of Technology as a Cross-Registered Student from 2018 to 2019. Kamilė continued her studies at the University of Amsterdam, where she completed a Master of Science in Gravitational and Astro-Particle Physics from 2019 to 2021, followed by a focus on Astroparticle Physics and Machine Learning from 2021 to 2022. Additionally, she was an Affiliate Student at University College London for 11 months in 2017.
Previous Work Experience
Before her current role, Kamilė Lukošiūtė gained valuable experience in research and development. She worked as a Research Intern at Fermilab from 2019 to 2020, contributing to various projects in particle physics. Following this, she served as a Doctoral Student at the University of Amsterdam from 2019 to 2022, where she engaged in advanced research. Kamilė also held a position at Anthropic as a Resident from 2022 to 2023, focusing on AI-related projects.
Research Focus and Specializations
Kamilė Lukošiūtė specializes in AI security, with a strong foundation in physics and machine learning. Her research interests include the intersection of astroparticle physics and artificial intelligence, particularly in the context of dark matter theory. This unique combination of expertise positions her to address complex challenges in AI security and contribute to advancements in the field.