Research Mission and Vision
The Methods for INcomplete Data (MIND) Lab advances statistical methods for handling censored, missing, or incomplete data to improve the estimation of neurodegenerative disease progression. We envision clinician-scientists using the methods we develop, built into open-access and reproducible software, to design clinical trials and help patients suffering from these devastating diseases.Contact
Tanya P. Garcia, Ph.D.Director of the MIND Lab
Associate Professor of Biostatistics
Gillings School of Public Health
The University of North Carolina at Chapel Hill
Email: tpgarcia [at] email [dot] unc [dot] edu
Be the First to Know our Fun News!
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March 2025: Yaaaaaay Yajie He for getting into the PhD program in Biostatistics at the University of Waterloo! Can't wait to see all the amazing things you'll do there and beyond.
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March 2025: Huge congratulations to Sophia Cross and Aditya Krishnan on getting accepted into The Big Data Summer Immersion at Yale (BDSY)! They'll be spending an exciting summer taking courses and diving into real-world data science experiences—what an incredible opportunity!
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February 2025: Way to go Stellen Li for getting into the Master's in Data Science Program at Harvard University! I’m confident you’ll wow them just like you’ve wowed me!
Check out more news here.