Summary
Monica Thieu is an assistant professor of neuroscience specializing in cognitive and affective neuroscience, bringing nine years of research and teaching experience to characterizing how perceptual input shapes emotional experience using behavioral, computational modeling, and fMRI methods. She combines rigorous, evidence-based pedagogy with hands-on technical training in statistics and scientific computing, routinely teaching data science in R and maintaining fluency in R with proficiency in MATLAB and Python. Her research trajectory spans doctoral work at Columbia, postdoctoral studies on subcortical threat pathways at Emory, and applied lab experience at Stanford, reflecting deep expertise in neuroimaging and experimental design. Known for translating complex methods into accessible instruction, she also builds project-based curricula for diverse learners and has led courses from intensive summer labs to undergraduate psychology. Based in San Diego, she blends quantitative rigor with a focus on affective phenomena, and she often bridges basic neuroscience with practical training that prepares the next generation of psychological scientists.
10 years of coding experience
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Columbia University
Bachelor of Arts - BA, PSYCHOLOGY, Bachelor of Arts - BA, PSYCHOLOGY at Stanford University