The Alzheimer’s Disease Translational Data Science (ADTDS) Training Program cross-trains pre-doctoral students in data science and translational research techniques to become productive, independent scientists focused on Alzheimer’s Disease (AD) treatment therapeutic discovery. This program is funded through an NIH/NIA T32 grant.
PhD trainees for this program are selected from among existing PhD trainees within graduate programs across the ÐÇ¿Õ´«Ã½ School of Medicine. Interested candidates must already be PhD trainees in existing PhD programs and then work with their advisor to apply to this ADTDS program.
While research on AD has been rapidly expanding into the realm of large-scale data, changes to traditional training of PhD students have not kept pace. The disciplines of data science and basic, clinical, and translational science are often siloed away from each other through funding sources, academic departments, graduate education programs, and even student committees.
The goal of this program is to break down these silos by identifying promising predoctoral PhD students and providing them with analytical training, data access, and research environments rich in clinical and translational understanding of AD.
Student funding: The ADTDS program covers all tuition costs for two years and includes an annual stipend to cover housing and other costs. Typically, PhD trainees have been covered for the first year of their studies by the ÐÇ¿Õ´«Ã½ graduate studies program. Their concluding years are typically covered by their mentor’s grants.
Easy links: