PREDICT-HD researchers

(L to R) PREDICT-HD Principal Investigator Dr. Jane Paulsen, University of California, Davis Site Investigator Dr. Vicki Wheelock and ethics core member Dr. Martha Nance.


Over the life of the study, there have been over 150 investigators, coordinators, neurologists, neuropsychologists and other scientists directly involved in the PREDICT-HD study. We take a collaborative approach in order to include as many perspectives as possible to try and find the earliest signs of Huntington disease that will lead to effective treatments to delay onset of the disease.


The leaders of the study have been some of the top researchers in their respective fields, residing at colleges, universities and medical centers around the world. Here's a few of the PREDICT-HD researchers at the University of Iowa:


Jane Paulsen.jpg
Jane Paulsen, PhD, Principal Investigator, Professor of Neurology, Psychiatry, Psychology and Neuroscience, University of Iowa Carver College of Medicine: Dr. Paulsen is one of the leading HD researchers in the world with over 200 articles published in peer-reviewed medical journals. She has studied HD for almost 20 years, and is a frequent speaker at HD events both nationally and internationally.



Jeff Long.jpg

Jeffrey Long, PhD, Chief Statistics Officer, Professor of Psychiatry, University of Iowa: As the head statistician for PREDICT-HD, Dr. Long’s areas of interest include Huntington disease research, the analysis of longitudinal and time-to-event data, and the analysis of ordinal data. He received his doctoral degree in quantitative psychology from the University of Southern California.



Hans Johnson.jpg

Hans Johnson, PhD, Chief Technical Officer, Assistant Professor, University of Iowa, Director of Image Processing Lab at Iowa Mental Health Clinical Research center, University of Iowa Hospitals and Clinics: Dr. Johnson’s areas of interest include neuroinformatics, accelerating brain research through software testing, image registration, 3D visualization, the synthesis of average anatomical shape models, and collaborative tools for facilitating geographically distributed projects.