Frank Hu is a Data Scientist at the Michigan Institute for Data and AI in Society (MIDAS). His work focuses on developing and applying machine learning and artificial intelligence methods to complex, high-dimensional data across interdisciplinary domains. He has over 15 years of experience in neuroimaging research, particularly in functional near-infrared spectroscopy (fNIRS) and EEG, and has led projects that integrate multimodal brain signals with advanced computational approaches.
At MIDAS, Frank is expanding his work toward predictive modeling, real-time data analysis, and AI-driven tools that can advance both scientific discovery and practical applications. Beyond neuroimaging, he has broad expertise in statistical modeling, time series analysis, and building end-to-end pipelines for large-scale data, from clinical electronic health records to multimodal sensor data. He is also an active participant in machine learning competitions, which keeps him engaged with cutting-edge methods in applied data science.
Fun Facts
- I love martial arts (Tai-chi, Kendo, Taekwondo).
- I practice Zen meditation.