Ben Ouyang

V.M.D., M.S., M.S.E., B.S.


Ben started his PhD in January 2017 under Dr. Theresa Bernardo and Dr. Zvonimir Poljak.  His focus is on technology in veterinary medicine.  His research interests began as an engineering student in the department of Applied Mathematics and Statistics at Johns Hopkins University where he pursued mathematical theory, engineering mathematics, scientific programming and machine learning.  He completed his B.S. in 2005 and his M.S.E. in 2007.  He competed veterinary school in 2014 at the University of Pennsylvania and completed a residency in Infection Control and an M.S. in Clinical Sciences in 2016 at Colorado State University.

Ben loves production animals (cattle, pigs) and companion animals (dogs, cats, horses, cattle, pigs), pretty much all animals, and enjoys helping people help their animals, and vice versa.  Ben uses technology to optimize his professional and personal life and can be found writing code for fun to solve various problems he may encounter.  Just as it complements his life, Ben believes that technology can enhance the bond between humans and animals.

Professional Experience & Honours

Ben's first experience with epidemiology came as a research assistant under Dr. Sylvain DeLisle at the University of Maryland School of Medicine.  Prior to that, Ben also had experience with image processing working in the lab of Dr. Simon Levin, under Dr. Joshua Weitz, in the Department of Ecology and Evolutionary Biology at Princeton University, analyzing images of xylem vessels in trees.  Ben also gained experience with signal processing working under Dr. Xiaoqin Wang, in the Department of Auditory Neurophysiology at the Johns Hopkins Whiting School of Engineering, where he analyzed marmoset vocalizations.