Newswise — Rockville, Md. — Members of the Association for Research in Vision and Ophthalmology (ARVO) have elected Denis Levi, OD, PhD, the editor-in-chief of its Journal of Vision (JOV). He will begin his five-year term as editor-in-chief beginning January 2013. Levi will succeed Andrew B. Watson, PhD, FARVO.

Levi is currently professor of optometry and vision science and dean of the School of Optometry at University of California, Berkeley. His research on amblyopia and spatial vision has been continuously funded by NEI for the last 34 years, and he has published over 250 scientific papers and two books.

A founding member of the JOV editorial board, Levi has published 20 papers in JOV and served as a referee on multiple occasions. He is presently editor-in-chief of Vision Research and has served on the editorial boards of Ophthalmic and Physiological Optics and ARVO’s Investigative Ophthalmology and Visual Science journal.

Levi received his OD, MS and PhD from the University of Houston (UH), School of Optometry. He held positions of professor, associate dean for research and Cullen Distinguished Professor at UH before leaving a 30-year career to accept the position of dean of Berkeley Optometry. Levi was elected Fellow of the Optical Society of America for his contributions in the areas of amblyopia and spatial vision, and he has received numerous awards, including the Glenn Fry Award and the Garland Clay Award from the American Academy of Optometry.

The Association for Research and Vision in Ophthalmology (ARVO) is the largest eye and vision research organization in the world. Members include more than 12,500 eye and vision researchers from over 80 countries. ARVO encourages and assists research, training, publication and knowledge-sharing in vision and ophthalmology.

ARVO’s Journal of Vision (www.journalofvision.org) is an online-only, peer-reviewed, open-access publication devoted to visual function in humans and animals. It explores topics such as spatial vision, perception, low vision, color vision and more, spanning the fields of neuroscience, psychology and psychophysics. JOV is known for hands-on datasets and models that users can manipulate online.