William (Bill) Lotter

I lead an interdisciplinary research group with interests encompassing computational biology, imaging, and brain science. A core aim of our group is the development of computational methods for biomedical image analysis, with domains ranging from radiology to spatial omics.

Our current projects focus largely on applications in precision oncology and modeling the tumor microenvironment and its relation to genetic characteristics and patient outcomes. I additionally have a longstanding interest in computational neuroscience, where we take inspiration from human visual intelligence in designing our computer vision systems.

 

PhD Dissertation Title:  Prediction as a Rule for Unsupervised Learning in Deep Neural Networks PhD Dissertation Advisor(s): Dr. Gabriel Kreiman and Dr. David Cox, Boston Children's Hospital/ Center for Brain Science, Dept. of Molecular and Cellular Biology