Danni Tu

I am a fourth year PhD candidate in Biostatistics at the University of Pennsylvania specializing in statistical methods for brain imaging data. Broadly, my interests include predictive modeling of disease and statistical inference on networks, images, and other interesting high-dimensional structures. I am a part of the PennSIVE group.


PhD, Biostatistics - University of Pennsylvania, expected 2023
MS, Biostatistics - University of Pennsylvania, 2020
Thesis: Dynamic Prediction of Cognitive Performance in Space.
BA, Mathematics - Princeton University, 2015
Thesis: An Introduction to Persistent Homology.

Research Interests

  • Imaging and high-dimensional data

  • Graph theory and topological properties of complex neural systems

  • Machine learning

  • Justice, equity, and health policy


    • 7+ years of research experience in statistics and data science

    • Expertise: R, Python, MATLAB

    • Working knowledge: Java, SAS, Stata, Mathematica


Statistical Research Assistant
Mathematica Policy Research (Jul 2015 - Jul 2018)

  • 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