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Xiaosu (Frank) Hu

PhD, Signal processing in cognitive elecro-mechanics, brain imaging with fNIRS&EEG, Pusan National University, Korea (South)
MSc, Signal processing and parallel computing, Cranfield University, U.K.
B.Eng., Signal processing and automation, Beihang University, China

Assistant Research Scientist, Biologic and Materials Sciences & Prosthodontics (BMSP), School of Dentistry, Department of Psychology, University of Michigan

Experienced Data/Research Scientist and Machine/Deep Learning Engineer with over 10 years of expertise and a PhD. Passionate about problem-solving through research, data cleaning, feature engineering, and model development for complex challenges. Neuroimaging scientist with an engineering background, specializing in fNIRS probe registration, data acquisition, decoding, and analysis. Extensive experience applying fNIRS brain imaging across diverse research areas. Kaggle competition master with demonstrated expertise in statistical modeling, time series analysis, machine learning, deep learning (especially in computer vision), and large language models (LLMs). Proficient in Python, MATLAB, SQL, shell scripting, R, and SAS.