School of Medicine
Showing 4,201-4,300 of 4,344 Results
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Lisa Yamada
Software Developer 2, SoM - CNC - Cracking the Neural Code
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.
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Sean Yoon
Masters Student in Computer Science, admitted Autumn 2023
Stanford Stdnt Employee-Summer, NeurosurgeryBioB.S. Candidate in Neuroengineering, co-advised by Prof. Ada Poon (Dept of EE) and Prof. Francis Willett (Dept of Neurosurgery)
Research Interests: Brain-Computer Interfaces, Neuroprosthesis, Deep Learning, Neuromorphics, Computational Neuroscience -
Kylie Yorke
Casual - Non-Exempt, Psych/General Psychiatry and Psychology (Adult)
Current Role at StanfordLab Manager; Stanford Social Neuroscience Lab
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Isabella Young
Casual - Non-Exempt, Psych/General Psychiatry and Psychology (Adult)
BioIsabella “Bella” Young is a Clinical Psychology doctoral student in the PAU–Stanford Consortium, expected to graduate in 2030. She holds dual Bachelor of Science degrees in Psychology and Criminology, with minors in Sociology and Political Science, from the University of Utah, and earned her Master’s degree in Clinical Psychology from Teachers College, Columbia University.
Bella is committed to integrating empirical research with evidence-based treatment, believing this combination creates the most effective approaches to care. She is a proud alumna of the Perinatal Research on Intergenerational Solutions for Equity (RISE) Laboratory, where she contributed to the Nurse-Family Partnership and Mozambique studies, examining how social inequities become biologically embedded across generations through DNA methylation. She also partnered with Manhattan-based organizations advancing Birthing Justice.
Currently, she continues her work in Columbia’s Maternal & Reproductive Psych Laboratory, where she helped launch a Reproductive Identity study and served as first author on a reproductive identity narrative.
Her research interests focus on perinatal mood and anxiety disorders, reproductive identity, and severe personality pathology in mothers (e.g., borderline personality disorder, postpartum psychosis). Ultimately, Bella aspires to become a clinical psychologist dedicated to bridging research and clinical practice to better support individuals during the perinatal period. -
Linbo Yu
Clinical Instructor (Affiliated), Pediatrics - Genetics
BioLinbo Yu is a genetic counselor and a founding member of Stanford’s Genetic Testing Optimization Service (GTOS). She received her undergraduate degree from the University of California, Los Angeles in 2007 and her master’s degree in genetic counseling from the University of California, Irvine in 2009. She started her career at Ambry Genetics. In 2014, she became the first lab genetic counselor at Stanford Hospital and helped establish Genetic Testing Optimization Service (GTOS). As a passionate clinical liaison between Stanford Clinical Lab and the ordering providers at Stanford, some of her roles include assisting clinicians with selection of genetic tests, reviewing genetic test orders for clinical appropriateness and educating ordering providers about genetic diseases and test information. Linbo is also a clinical instructor of Department of Pediatrics, and she enjoys clinical supervision of genetic counseling students.
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Mang Yu
BioDr. Yu is contributing to growing the School of Medicine’s portfolio of grants, especially those related to biomedical data science
https://orcid.org/0000-0003-3302-3180
