Facelli’s research interests are centered in the application of advance computing techniques to solve important problems in the biomedical domain. The projects in his research group use similar computational infrastructure and tools to maximize the synergy among projects, benefiting the students, post docs and faculty in the group who are exposed to a variety of biomedical problems that are addressed by a common set of computational approaches. The principal research projects currently underway in his group are:

Environmental Health Informatics

Big Data Applications to Biomedical Informatics

Protein Structure Prediction to Understand Variant Pathogenicity

Crystal Structure Prediction (CSP) of Pharmaceutical Drugs

Distributed Information Systems for Clinical and Translational Research

"I use a combination of lab meetings and one on one meetings. I do not micro-manage projects, but expect sincere engagement and participation. The student will work within a team of post docs and graduate students with a great deal of experience in bimolecular modeling and in close collaboration with the staff of the Center for High Performance Computing."