UCSF’s innovative, collaborative approach to patient care, research and education spans disciplines across the life sciences, making it a world leader in scientific discovery and its translation to improving health.
Sophia is a research coordinator in Dr. Joel Kramer’s lab working primarily on the Brain Aging Network for Cognitive Health study and the Mechanisms of Executive Decline study. She graduated with a BA degree in Integrative Biology from UC Berkeley in 2024.
Ms. Soppe is the PET Program Clinical Research Supervisor working directly with the Rabinovici Lab. She is deeply involved with both faculty and staff in monitoring operational issues, regulatory compliance, and project development. Besides project management expertise, Carol brings over 20 years of research experience spanning fields from basic immunology, metabolic diseases, and oncology to transplantation and autoimmunity.
Siddarth graduated from UC Berkeley in 2024 with a BA degree in Cognitive Science and Psychology and a minor in Data Science. At UC Berkeley, Sid worked as a research assistant at the Center of Human Sleep Science. He joined the Memory and Aging Center as an Assistant Clinical Research Coordinator on the Language/PPA Team in the ALBA Lab. Sid is interested in studying the mechanisms behind neurodegeneration and protective factors, along with focusing interventions on underserved communities.
Mia received her BA degree in Psychology from Rice University. She joined the MAC as an Assistant Clinical Research Coordinator on the Language/PPA Team. Previously, she worked as a Research Assistant at the T-SCAN Lab. She is passionate about utilizing research to develop targeted interventions for underserved and underrepresented populations. In her free time, she enjoys hiking, bullet journaling, and trying new restaurants.
Stefania Pezzoli completed her PhD degree in Neuroscience at the University of Sheffield in the United Kingdom. Her research aimed to investigate the neural and cognitive correlates of visual hallucinations in Lewy body disease and Alzheimer’s disease by integrating multimodal neuroimaging and neuropsychological measures.
