Casey Meehan
About Casey Meehan
Casey Meehan is a scientist currently working at Tumult Labs in the San Francisco Bay Area, focusing on privacy in sensitive data related to location and social networks. He has a diverse background in research and engineering, with experience at notable companies such as Tesla and Meta, and is in the process of defending his PhD at UC San Diego.
Current Role at Tumult Labs
Casey Meehan currently serves as a Scientist at Tumult Labs, a position held since 2023. This role is based in the San Francisco Bay Area, with a remote work arrangement. Meehan's research focuses on formalizing privacy for sensitive location data and social network data. This work addresses privacy concerns in contemporary machine learning, particularly in defining privacy for large language model embeddings.
Education and Academic Background
Casey Meehan has an extensive academic background. Meehan studied at Harvard University, where a Master of Science in Computational Science and Engineering was achieved from 2017 to 2018. Prior to this, Meehan earned a Bachelor of Science in Electrical Engineering and Signal Processing from Brown University, studying from 2011 to 2015. Currently, Meehan is a Doctoral Student at UC San Diego, where studies have been ongoing since 2018, with a focus on privacy in machine learning.
Previous Work Experience
Before joining Tumult Labs, Casey Meehan gained valuable experience through various internships. In 2022, Meehan worked as a Research Intern at Meta for seven months in San Francisco, California. Prior to that, a three-month internship as a Sensing Intern at Tesla took place in 2018 in Palo Alto, CA. Additionally, Meehan worked as an Analog Design Engineer at Analog Devices from 2015 to 2017 in Norwood, MA.
Research Focus and Contributions
Casey Meehan's research contributions include understanding and quantifying how large models memorize their training data, which can result in the leakage of sensitive information. Meehan has also worked on generatively reconstructing the training data of large vision models. This research is significant in the context of privacy and machine learning, addressing critical issues related to data security and individual privacy.
PhD Studies and Advisement
Casey Meehan is in the process of defending a PhD at UC San Diego, advised by Dr. Kamalika Chaudhuri. This doctoral research is centered on privacy issues related to machine learning, contributing to the broader understanding of data privacy in technology.