Meng Li headshot


SURF Mentoring

Potential projects/topics: Topic areas: data-driven decision-making, statistical modeling, computational neurosciences, computational materials sciences, data visualization

Required qualifications: The student is expected to be passionate about data-driven solutions to a selected scientific or industrial problem

Direct mentor: Faculty/P.I., Graduate Student

Student Project Titles List

Houston 311: An Analysis of Citizen Satisfaction and Engagement

A Preliminary Study on Combining AI Advancements and Tabular Data Analysis

Research Areas

Theory and Methods: variable selection, image analysis, multiscale modeling, quantile regression, nonparametric Bayes, scalable algorithms, functional data analysis. Application: materials informatics, biomedical application, neuroimaging, computational neuroscience, discrete math