The home page for Dr. Edward Snell

Dr. Edward Snell is a Professor in the Materials Design and Innovation Department in the SUNY University at Buffalo, an affiliated faculty in the University at Buffalo Institute for Artificial Intelligence and Data Science, and an Adjunct Professor in the Cell Stress and Biophysical Oncology program at Roswell Park Comprehensive Cancer Center. He is a distinguished Fellow of the American Crystallographic Association (the Structural Science Society), and a internationally recognized biophysicist. He led the Hauptman-Woodward Medical Research Institute as Chief Executive Officer and President for nearly a decade and served as its Chief Scientific Officer toward its merger with the University at Buffalo and the formation of the University at Buffalo Hauptman-Woodward Institute. With an extensive academic portfolio of over 90 publications, four book chapters, and two books from his research efforts, Dr. Snell also contributes to numerous advisory committees and workshops.

The Snell Group focuses on developing methods to deepen the understanding of biological structure, function, and mechanisms. The laboratory’s primary interest lies in crystallography, with an increasing emphasis on complementary techniques to enhance the understanding of dynamics alongside structural insights. Current projects include improving high-throughput crystallization processes, accurately interpreting metalloprotein structures, and conducting specific structural studies related to cancer therapy and treatment. Recent work has been exploring the structural impacts of low radiation doses and its systemic health effects. The interests span both experimental and computational approaches with an increasing emphasis on machine learning and artificial intelligence approaches.

In addition to his roles at the Institute, Dr. Snell is the Director of the NSF BioXFEL Science and Technology Center, which has successfully advanced the biological applications of X-ray Free Electron Lasers with almost 950 related publications and 1,350 structural models deposited.  .

The laboratory expects to have a two-year post-doctoral position announced shortly for someone with experience in cloning, expression, and purification of proteins associated with health effects from low-dose radiation. The person should have an interest in structural biology (training will be available) and computational skills to enable interaction with a an AI group involved in this work (exposure to AI and training in its use will also be available). Graduate student positions in this area will also be announced shortly. In this case students should have an interest in the computational side with a desire to gain experience in the biological field.    

Navigation

News

Structures involving the laboratory