As an undergraduate, Dr. Williamson conducted research on cellular mechanisms of learning and memory and on unsupervised machine learning techniques. His interest in the intersection between biology and machines inspired him to pursue graduate training. During this time, Dr. Williamson developed a novel brain-machine interface for evaluating the limits of learning in brain circuits. Later, through volunteer experiences, Dr. Williamson gained a love for the field of ophthalmology. As an ophthalmologist, he hopes to combine his experiences in machine learning and ophthalmology to develop new approaches to personalizing clinical decisions to each patient's needs.
- Carnegie Mellon University, PhD in Neural Computation and Machine Learning
- University of Pittsburgh School of Medicine, MD
- Brigham Young University, BS in Electrical Engineering
Education & Training
Research Interests