Accelerating the development of individualized treatments for diseases that affect the brain
Chin Hong Tan, PhD, Postdoctoral Scholar
Dr. Chin Hong Tan is a Postdoctoral Scholar at UCSF. He received his PhD in Psychology (Cognitive Neuroscience) from the University of Illinois, Urbana-Champaign. His research focuses on using genetics and multimodal neuroimaging to understand neurodegenerative and cerebrovascular processes in dementias. At the Laboratory for Precision Neuroimaging, he is investigating the associations of a polygenic hazard score (PHS) with Alzheimer's disease biomarkers, cognitive decline, and clinical progression.
Iris Broce, PhD, Postdoctoral Scholar
Iris is a postdoctoral scholar in the Radiology and Biomedical Imaging Department at UCSF. Her research combines neuroimaging, genetics, and computational methods to discover pathological mechanisms underlying neurodegenerative conditions. Her main research goal is to develop novel genetic and imaging biomarkers that will enhance the understanding, diagnosis, and treatment of disorders such as amyotrophic lateral sclerosis, frontotemporal dementia, and Alzheimer’s disease. In her free time, Iris enjoys traveling, spending time with family, hiking and scuba diving.
Yi Li, MD, Assistant Professor
Yi Li is an Assistant Professor in the UCSF Department of Radiology, with a research and clinical focus in pediatric neuroradiology. After completing a MD from Harvard Medical School, Yi completed radiology residency and neuroradiology fellowship at UCSF. Yi is interested in studying regional gene expression patterns in pediatric neurodevelopmental diseases. During her free time, she enjoys traveling, eating, and spending time with her family.
Matt Barkovich, MD, Neuroradiology Fellow
Dr. Matt Barkovich is a diagnostic neuroradiology fellow at UCSF. He received his MD from the Univeristy of California, San Diego and completed his diagnostic radiology residency at UCSF in June of 2018. Dr. Barkovich's research is focused on elucidating the mechanisms of normal brain development through the study of pediatric neurodevelopmental and neuropsychiatric disorders, predominantly by leveraging pre-existing clinical data. At the Laboratory for Precision Neuroimaging, he has studied abnormal cerebellar morphology in neurodevelopmental disorders and is working on improved methods for automated pediatric cerebellar segmentation. In children with neurofibromatosis type 1 (NF1), he has worked to better understand the interplay between imaging abnormalities and clinical phenotype, and elucidate how both reflect the inciting alteration of the mTOR/AKT/PI3K pathway.
Maria Olaru, BS, Staff Research Associate
Maria is a research associate at the Laboratory for Precision Neuroimaging, where she is learning how to use multimodal imaging-based tools to develop biomarkers for neurodegenerative and psychiatric disease. Currently, Maria is focused on assessing, optimizing and standardizing the use of functional MRI as a tool for language localization in pre-surgical patients. She’s also spent some time collaborating with the General Surgery department, where she examined the impact of mindfulness-based stress reduction on surgical interns.
Ryan Nillo, BA, Staff Research Associate
Ryan is a staff research assistant at UCSF. He received a Bachelor of Arts in Biology from Carleton College. Prior to working at UCSF, he spent time at the Honolulu Neuroscience Clinic learning about neuropsychiatric disorders through the lens of electroencephalograpy. Now, he studies the complex relationships between neurological diseases, neuroanatomy, and functional systems. He also assists fellow lab members by processing imaging data with FreeSurfer and preparing the data for further analyses.
Leo Sugrue, MD PhD
Leo Sugrue, MD, PhD, is an Assistant Professor in Residence at the University of California, San Francisco in the Department of Radiology and Biomedical Imaging. He received his medical degree from The Johns Hopkins University School of Medicine in 2007. In 2008, he completed his PhD in Neuroscience from Stanford University School of Medicine in California, where he completed a one-year internal medicine internship the same year. In 2009, Dr. Sugrue finished a post-doctoral fellowship at Howard Hughes Medical Institute, Stanford University, and in 2013 he completed a four-year Diagnostic Radiology residency at UCSF. Dr. Sugrue finished a five-month mini-fellowship in diagnostic neuroradiology in 2013, followed by an ACGME Neuroradiology fellowship in the Department of Radiology and Biomedical Imaging at UCSF in 2014. Dr. Sugrue’s interests focus on using electrophysiological and imaging-based tools to study the brain networks responsible for decision making and cognition, developing imaging biomarkers to diagnose and treat neuropsychiatric disease, and targeting and evaluating brain stimulation and brain-machine interface technologies. In September 2014, he accepted the position of Assistant Professor in Residence in Neuroradiology at UCSF.
Rahul Desikan, MD PhD
Rahul is Assistant Professor of Radiology & Biomedical Imaging, Neurology and Pediatrics at UCSF and Co-Director of the Laboratory for Precision Neuroimaging. He completed his BA, MD and PhD training at Boston University, Radiology Residency at UCSD and Neuroradiology Fellowship at UCSF. He completed postdoctoral fellowships in Neuroimaging with Dr. Bruce Fischl at the Athinoula a. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and Neurogenetics with Dr. Anders Dale at UCSD. Rahul’s work focuses on investigating the pathobiology underlying neurodegenerative and neurodevelopmental disorders. Using ‘big’ data acquired through ongoing collaborations, he uses a variety of different methods to identify novel risk factors for brain diseases. Rahul’s scientific contributions include 1) development of an automated atlas of the human cerebral cortex (Desikan Atlas in FreeSurfer), 2) characterization of the relationship between neurodegeneration, amyloid and tau pathology in Alzheimer’s disease, 3) development of the polygenic hazard score (PHS) for predicting Alzheimer’s disease age of onset and 4) helping develop and validate methods to quantify genetic pleiotropy.
Andreas Rauschecker, MD PhD, Neuroradiology Fellow