Xin Niu is a data scientist and cognitive neuroscientist based in Los Angeles with a decade of experience applying AI and machine learning to healthcare, education, and product design. She currently contributes to data science at Bitus Labs and previously built robust ML pipelines for wearable data at WHOOP and consolidated neural recording data into NWB formats at UCLA Health. Her interdisciplinary training spans psychology, brain science, and data science, anchored by a PhD in Psychology from Drexel University and an MS in Cognitive Psychology from Beijing Normal University. A hands-on coder, she excels in Python, SQL, JavaScript, R, and MATLAB, has developed open-source tools for electrophysiology data analysis such as spiker_viewer and make_stim, and led discussions on VO2max test protocol design at WHOOP. Xin is driven by translating neuroscience and AI advances into real-world health outcomes, with a knack for turning complex research into practical, scalable solutions.
10 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Cognitive Psychology, Master of Science (MS), Cognitive Psychology at Beijing Normal University
Doctor of Philosophy - PhD, Psychology, Doctor of Philosophy - PhD, Psychology at Drexel University
Bachelor's degree, PSYCHOLOGY, Bachelor's degree, PSYCHOLOGY at Tianjin Sport University
Contributions:5 pushes, 1 branch in 8 years 1 month
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