Ricardo Del Rosario
About Ricardo Del Rosario
Ricardo Del Rosario is a Computational Biologist at the Broad Institute in Cambridge, Massachusetts, where he has worked since 2015. He holds a Ph.D. in Applied Mathematics from North Carolina State University and specializes in mathematical modeling and genomics.
Work at Broad Institute
Ricardo Del Rosario has been employed at the Broad Institute since 2015, serving as a Computational Biologist. In this role, he contributes to various research initiatives and projects focused on genomics. His work supports the scientific community in advancing knowledge and understanding in the field of computational biology. Based in Cambridge, Massachusetts, he collaborates with other researchers to apply mathematical modeling techniques to biological data.
Education and Expertise
Ricardo Del Rosario holds a Doctor of Philosophy in Applied Mathematics from North Carolina State University, where he studied from 1995 to 1998. He also earned a Master of Science in Mathematics from Iowa State University, completing his studies from 1993 to 1995. His academic journey began with a Bachelor of Science in Mathematics from the University of the Philippines, where he studied from 1986 to 1989. His educational background provides a strong foundation for his expertise in genomics and mathematical modeling in computational biology.
Background
Ricardo Del Rosario's academic and professional background is rooted in mathematics and computational biology. He has developed a career that integrates mathematical modeling with biological research, particularly in genomics. His extensive education and experience have positioned him as a knowledgeable contributor to the scientific community, particularly at the Broad Institute.
Specialization in Computational Biology
Ricardo Del Rosario specializes in mathematical modeling within the field of computational biology. His expertise allows him to analyze complex biological data and contribute to significant research projects. By applying mathematical principles to genomics, he aids in the understanding of biological processes and enhances research outcomes at the Broad Institute.