Katie Lamar is a second-year PhD student in the Bioengineering department at UC San Diego where she focuses on improving brain and brainstem Magnetic Resonance Imaging (MRI) under the guidance of Dr. Thomas Liu and Dr. Albert Hsiao. Katie's research takes both an acquisition-based as well as an AI-centric, correction-based approach to minimizing off-resonance and motion-related artifacts that significantly hinder the accuracy of brain and brainstem functional imaging. Prior to joining UC San Diego as a Bioengineering doctoral student, Katie earned a Bachelor of Arts in Applied Mathematics and Computer Science in May of 2022 and a Master of Science in Electrical Engineering Computer Science (EECS) in May of 2023 from UC Berkeley. Katie's undergraduate and graduate research, under the guidance of Dr. Michael Lustig, focused on minimizing cardiac and respiratory-induced motion artifacts using microwave frequencies to track subject motion. Outside of the lab, Katie enjoys exploring San Diego and hanging out with her two cats, Cauchy and Riemann (Remy).