MIND Lab

Methods for INcomplete Data (MIND)

MIND Lab

tpgarcia1

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!

Award
November 2024: Tanya Garcia wins the Roy R. Kuebler Award, an award that supports career-enhancing activities for Assistant and Associate Professors in the Department of Biostatistics.

Award
August 2024: Tanya Garcia wins the Landis Award for Outstanding Mentorship, an annual award from the National Institute of Neurological Disorders and Stroke (NINDS) at the National Institutes of Health (NIH), named in honor of former NINDS Director Dr. Story Landis.

Award
April 2024: Tanya Garcia is elected as an American Statistical Association Fellow!

Check out more news here.