Students, Dan Rosa de Jesus and Julian Cuevas from the University of Puerto Rico, Mayaguez (UPRM) are at Lawrence Berkeley National Laboratory this summer with Dr. Wilson Rivera, a professor of computer science and engineering at UPRM. This faculty/student research team is studying deep learning and the potential to improve the accuracy of protein structure predictions as a part of the Sustainable Research Pathways program. Their team works closely with Dr. Silvia Crivelli, a computational biologist and other Computational Research Division scientists at Berkeley Lab.
UPRM together with Berkeley Lab and Sustainable Horizons Institute seeks to train professionals in the disciplines of: technology and engineering as well as science and mathematics. Collaboration is the key to success. We are excited to support the growth of the computer science and engineering program at UPRM through the Sustainable Research Pathways program and hope to encourage the pursuit of STEM disciplines among students and faculty at the university.
Read more about this team’s summer research experience: http://cs.lbl.gov/news-media/news/2018/univ-of-puerto-rico-summer-students-apply-deep-learning-to-structural-biology/