PhD Students

Trevor Day

Summary of Current Research

I am a fifth-year PhD  student in Developmental Psychology in the Institute of Child Development. My interests are in typical and atypical language acquisition, especially syntax and morphology, and functional connectivity neuroimaging. My dissertation focuses on resting-state correlates of language acquisition, namely hemispheric specialization. Prior to joining the DCAN Labs and the Elison Lab , I worked as a research scientist at the Integrated Brain Imaging Center at the University of Washington with Tara Madhyastha, studying Parkinson’s disease and implementing resting-state functional magnetic resonance imaging pipelines. I received my BA in linguistics from the University of Washington in 2017, where I  did my bachelor’s honors thesis with Lee Osterhout.


Ekomobong Eyoh

Summary of Current Research

I am a Ph.D. student in the Developmental Psychopathology and Clinical Science program at the University of Minnesota’s Institute of Child Development. Broadly, my research interests include heterogeneity in autism and developmental origins of psychopathology and neurodevelopmental disorders. More specifically, I am interested in studying autism early identification, heterogeneity in developmental disorders, and social/emotional developmental influences on the emergence of psychopathology. Prior to graduate school at ICD, I received a B.E. in Biomedical Engineering and Neuroscience from Vanderbilt University and an M.P.H. from the University of Miami. Later, I worked as a research coordinator for a year and a half in the Laboratory of Affective Sensory Research at Vanderbilt University Medical Center studying sensory differences in autism.


Sanju Koirala

Summary of Current Research

I am a first-year graduate student in the Developmental Science program at the Institute of Child Development (ICD) at UMN. I am interested in characterizing the developmental trajectory of brain networks in relation to behavioral milestones in early years of life and examining how it differs in various neurodevelopmental disorders and delays. Prior to joining the lab, I worked as a Simons fellow in Computational Neuroscience at Marcus Autism Center, Emory University. While at Marcus, I studied the methodological feasibility of using simultaneous eye-tracking/MRI to examine brain activation in participants with and without autism spectrum disorder (ASD) as they engaged with a naturalistic stimulus. I also studied whether the trajectories of social visual engagement over the first two years of life predict later language outcome in infants at low and high-risk for ASD. I received my B.A. in Neuroscience from Hamilton College in 2019. As a first-generation, international, woman of color in science, I am passionate about making science more equitable and accessible to students from underrepresented backgrounds globally. Outside of the lab, you’ll find me writing/reading poetry, doing yoga, and traveling.  


Vanessa Morgan

Summary of Current Research

I’m a PhD student in the Graduate Program in Neuroscience, and I joined the lab in the summer of 2023. My research interests involve understanding neural dynamics and how these dynamics are different in autism. I’m particularly interested in accomplishing this using computational modeling and high field fMRI data. I’m a proudly autistic woman, and I try to integrate values held within neurodivergent communities into my work. I attended Hartwick College as a first-generation undergraduate, receiving a B.S. in computer science and a B.A. in psychology. Between then and grad school, I worked as a post-baccalaureate fellow at the NIH studying reinforcement learning in rhesus macaques. Outside of the lab, my interests include (both reading and writing) science fiction, bike rides (when the weather permits), and sewing.


Tim Hendrickson

Summary of Current Research

I am a part-time Ph.D. student in the Bioinformatics and Computational Biology program at the University of Minnesota. I joined the lab in Winter 2021. Generally, my research interests include deep learning or machine learning applications to MRI neuroimaging data. More specifically, I have been working to improve data processing methods for infant MRI neuroimaging using deep learning approaches, such as semantic segmentation and 3D-shape reconstruction. Beyond my Ph.D. work I am also the neuroimaging informatics manager with the MIDB informatics group. There I consult and assist researchers with neuroimaging processing and analysis of their data. Outside of the lab, I enjoy running with my dog and spending time with my family.