Studying cognitive control processing on healthy human beings and ADHD populations with a novel research design and applying computational modeling to interpret goal-directed and habitual behaviors.

Take courses both from quantitative science and neuroscience (Done). Participate in the interdisciplinary, computational journal clubs (Ongoing). Finished an extended project related to computational neuroscience (Done).

Graduate coursework: Advanced Statistical Methods, Data Science and Analytics in Python, Computational Modeling of Cognition, Introduction to fMRI, Computational Neuroscience, Advanced Neural Circuitry, Neuropharmacology, Cognitive & Behavioral Neuroscience, Attention and Cognitive Control, Sensory & System Neuroscience, Sleep, brain, behaviors; Human Learning and Memory, etc.

Research interests focused on sleep, psychiatric disorders, system neurobiology, advanced neural techniques, and computational neuroscience. Advanced and experienced in neural data pre-processing (multiple types of neural imaging data and neural signal data), statistical analysis, and data visualization. Used DetectAnyMouse model (Deep learning model based on Python) on training and testing animals’ motor activities in the home cage.Published a review:Sulaman, B. A., Wang, S., Tyan,… Show more Research interests focused on sleep, psychiatric disorders, system neurobiology, advanced neural techniques, and computational neuroscience. Advanced and experienced in neural data pre-processing (multiple types of neural imaging data and neural signal data), statistical analysis, and data visualization. Used DetectAnyMouse model (Deep learning model based on Python) on training and testing animals’ motor activities in the home cage.Published a review:Sulaman, B. A., Wang, S., Tyan, J., & Eban-Rothschild, A. (2023). Neuro-orchestration of sleep and wakefulness. Nature Neuroscience, 26(2), 196-212. Show less

Teaching courses: (1) Introduction to Psychology; (2) Introduction to behavioral neuroscience; (3) Introduction to cognitive science; (4) Advanced statistical methods I, II (Graduate course)

I passed the PhD preliminary exam in May 2021.

- Work in Medical&Real-World Data Analytics team as a clinical data scientist intern.- Did a pilot study to evaluate digital wearables in detection of critical symptoms of rare diseases.

Working in a fruit fly lab for my graduation honor thesis, focusing on social pheromones and sleep regulations on drosophila melanogaster. Published one paper on January 26, 2022 Wu, X., Wang, S., Zhao, X., Wen, J., Li, Y., Zhao, Z. and Du, J. (2022), Analysis of sleep in individual Drosophila melanogaster reveals a self-regulatory role for cuticular hydrocarbons pheromones. Insect Science. (link: https://doi.org/10.1111/1744-7917.13022)

Obtained my B.S. in Agriculture in June 2019;Obtained a secondary bachelor's degree in Finance offered by the university in June 2019.Core coursework: Biostatistics, Entomology, Microbiology, Inorganic Chemistry, Organic Chemistry, Plant Pathology, Plant Physiology, Calculus, Physiology, Biochemistry, Neurobiology, Cell Biology, Python and Bioinformatics, etc.

Applied for a national college student research funding; Worked on identification of QTL (quantitative trait loci) conferring resistance to stripe rust in the wheat genome.

Undergraduate research assistant focused on mechanisms of microglia in mouse model for Alzheimer's Disease