Posts classified under: Members

Erie Boorman, Ph.D.

Faculty Member

Associate Professor
Department of Psychology
University of California, Los Angeles

Personal Statement

For the entirety of my career, my research has focused on elucidating the behavioral, computational, and neural bases of learning, memory, and decision making. For my graduate training, I was awarded a Wellcome Trust Prize Studentship to study for an M.Sc. and D.Phil. in Neurosciences at the University of Oxford. During my D.Phil. I worked with Dr. Matthew Rushworth to investigate decision making and executive function in humans and rodents. This training gave me a strong foundation in neuroimaging (functional magnetic resonance imaging, diffusion weighted imaging), transcranial magnetic stimulation, experimental lesions, and computational approaches to investigate learning and decision making. My graduate research imparted in me the value of a multi-modal approach to address a particular scientific question. For my postdoctoral training, I was awarded a Sir Henry Wellcome Postdoctoral Fellowship to expand my computational toolkit by training in Neuroeconomic (with Drs. Antonio Rangel and John O’Doherty at Caltech) and Bayesian statistical (with Dr. Tim Behrens at Oxford and UCL) techniques and apply these tools to investigate the roles of frontostriatal and frontotemporal networks in constructing, using, and updating predictive models during both reward-guided and social decision making and learning. In my own Learning and Decision Making Lab, first at UC Davis and now UCLA, my primary approach is to integrate mathematical descriptions of the processes underlying learning, task representation, and decision making with advanced analytical techniques, applied to neural data across methods and species. Our research is focused primarily on two interrelated questions: how does the brain (1) build and use ‘cognitive maps’ to make efficient inferences that underpin generalization and flexible decision making; and (2) form and update predictive internal models that specify beliefs about relationships between environmental cues or latent (hidden) causes, our choices, and the outcomes that may follow?

Abigail Dickinson, Ph.D.

Faculty Member

Assistant Professor
Department of Psychiatry and Biobehavioral Sciences
University of California, Los Angeles

Personal Statement

I am an Assistant Professor in the Department of Psychiatry and Biobehavioral Sciences at UCLA and lead the UCLA Center for Autism Research and Treatment (CART) EEG Laboratory. My research seeks to understand the neural mechanisms underlying autism and related neurodevelopmental conditions across the lifespan, with the goal of identifying objective biomarkers that inform our understanding of brain development, function, and aging. My work has focused on using electrophysiological measures to investigate fundamental questions regarding brain function in autism. Early in my career, I used psychophysical paradigms and gamma-band electrophysiological measures to examine excitation–inhibition balance and inhibitory cortical processes underlying sensory perception. This work provided insight into neural mechanisms contributing to atypical sensory experiences in autism and established my interest in understanding how alterations in brain function emerge and evolve across development. Building on this foundation, I expanded my research to study early neural markers of autism during infancy. Using longitudinal EEG approaches, I identified alterations in functional connectivity, sensory processing, and brain maturation trajectories that precede clinical diagnosis and predict later developmental outcomes. I subsequently extended this work to genetically defined neurodevelopmental disorders, including Angelman syndrome and Bohring-Opitz syndrome, where electrophysiological biomarkers provided insight into syndrome-specific mechanisms of atypical brain development. Most recently, with support from a NIMH K01 Career Development Award, I have expanded my research program to include adulthood and aging. By integrating EEG, cognition, physical health assessments, wearable technologies, and epigenetic biomarkers, my current work investigates biological aging processes in autistic adults and seeks to identify factors associated with resilience and healthy aging. Across all stages of my career, a unifying goal has been to understand how brain function changes across the lifespan and how these changes contribute to variability in outcomes among individuals with neurodevelopmental conditions. My expertise in electrophysiology, biomarker development, longitudinal developmental neuroscience, and aging research uniquely positions me to contribute to the Brain Research Institute’s mission of advancing our understanding of the brain across development, health, and disease. My long-term goal is to establish a lifespan neuroscience framework that links early neurodevelopmental mechanisms to later-life health and aging outcomes, ultimately identifying biological pathways that contribute to resilience and vulnerability across the lifespan in autism and related neurodevelopmental conditions.

Kyle Yoshida, Ph.D.

Faculty Member

Assistant Professor
Department of Mechanical and Aerospace Engineering
University of California, Los Angeles

Personal Statement

Kyle Yoshida is an Assistant Professor of Mechanical and Aerospace Engineering at UCLA, where he leads the MOHALA Lab (Mechatronics for Outreach, Haptics, Agriculture, and Living Applications). Kyle earned his SB in Bioengineering with an African Studies minor from Harvard and his MS and PhD in Mechanical Engineering from Stanford. His work, spanning robotics, haptic perception, and human-robot interfaces, has been recognized through awards at the IEEE International Conference on Soft Robotics, the IEEE International Conference on Robotics and Automation, the IEEE/RSJ International Conference on Intelligent Robots and Systems, and the Society for Integrative and Comparative Biology National Conference. He is the founder of Honua Scholars, a STEM-mentorship non-profit recognized as one of the Top 10 Native STEM Enterprises by the American Indian Science and Engineering Society. 

Meiyan Wang, Ph.D.

Faculty Member

Assistant Professor
Department of Neurobiology
David Geffen School of Medicine
University of California, Los Angeles

Personal Statement

My laboratory develops human brain organoid models to investigate glial diversity and human specific cellular and molecular features of the nervous system. We integrate hPSC-derived brain organoids with single-cell transcriptomics, spatial genomics, and functional imaging to elucidate molecular and cellular mechanisms underlying neurological and neurodegenerative disorders.