Danni Tu
I am a fifth year PhD candidate in Biostatistics at the University of Pennsylvania specializing in statistical methods for brain (neuroimaging and neurocognitive) data. Broadly, my interests include predictive modeling of disease and statistical inference on functions, networks, images, and other interesting high-dimensional structures. I am a part of the PennSIVE group.
Education
PhD, Biostatistics - University of Pennsylvania, expected 2023
MS, Biostatistics - University of Pennsylvania, 2020
Thesis: Dynamic Prediction of Cognitive Performance in Spaceflight.
BA, Mathematics - Princeton University, 2015
Thesis: An Introduction to Persistent Homology.
Research Interests
Imaging, function-valued, and high-dimensional data
Graph theory and topological properties of complex neural systems
Machine learning
Justice, equity, and health policy
Skills
7+ years of research experience in statistics and data science
Programming/development: R, Python, MATLAB, SAS, Stata, Java, Mathematica, Git, Bash scripting
Work Experience
Statistical Research Assistant
Mathematica Policy Research (Jul 2015 - Jul 2018)Â
Mathematica Policy Research (Jul 2015 - Jul 2018)Â
Research areas:
Healthcare quality for Medicaid beneficiaries
Efficiency and health outcomes in the Yale New Haven Health System
Measuring opioid use based on electronic health records
Assessing the impact of behavioral programs for unemployed, low-income young adults who lack a high school diploma