Camden Shultz

Johns Hopkins - Teaching Assistant - Department of Physics and Astronomy at The Johns Hopkins University

Camden Shultz is a research assistant and classroom assistant at The Johns Hopkins University, currently involved in the Cybernetic Implantable Devices Lab. His work focuses on developing small and interpretable machine learning models aimed at predicting epilepsy. He is pursuing a Master of Engineering in Computer Science and holds a Bachelor of Science in Electrical Engineering and Computer Science from the same institution.1

Education

Master of Engineering (MEng) in Computer Science
The Johns Hopkins University (2023-2024)
Bachelor of Science (BS) in Electrical Engineering and Computer Science
The Johns Hopkins University (2020-2024)

Professional Experience

Research Assistant
Cybernetic Implantable Devices Lab, Johns Hopkins University
Focus on predictive machine learning tools for epilepsy (January 2022 - Present).
Teaching Assistant
Department of Computer Science, Johns Hopkins University
Courses include Natural Language Processing and Data Structures & Object-Oriented Programming (August 2020 - Present).
Machine Learning Intern
Johns Hopkins University Applied Physics Laboratory (May 2023 - Present).

Skills and Interests

Camden's research interests lie at the intersection of computer science and engineering, with a strong emphasis on mathematical and data-oriented projects. He has experience in various roles that enhance his technical skills, including software engineering and machine learning applications.1