Wilma K. Olson is the Mary I. Bunting professor at the BioMaPS institute for Quantitative Biology at Rutgers University.
Education
Olson received her bachelor"s degree in Chemistry at the University of Delaware in 1967, with honors and distinction. During her studies, she received the Australian Computer Society (Delaware Section) Student Award. Olson obtained her Doctor of Philosophy in 1971 at, where she studied the configurational statistics of polynucleotide chains.
Her advisor was polymer scientist Paul J. Flory, who would win the Nobel Prize in chemistry in 1974.
Career
Olson has her own research group on the New Brunswick campus. Although she is a polymer chemist by training, her research aims to understand the influence of chemical architecture on the conformation, properties, and interactions of nucleic acids. Olson remained at the Flory group for a post doc research, after which she became a Damon Runyon Cancer Foundation Postdoctoral Fellow with geneticist Charles R. Cantor at Columbia University.
In 1972, Olson became an assistant professor at Rutgers University and full professor in 1979.
During her time at Rutgers, she was a visiting professor at the University of Basel in Switzerland (1979–1980) and at the Polymer Chemistry Department of the Jilin University in Changchun, China (1981). Wilma Olson was involved in setting up the nucleic acid database, in collaboration with Helen M. Berman.
Olson"s studies deoxyribonucleic acid as polymers, with atoms and chemical bonds. She studies the interaction between deoxyribonucleic acid and structural proteins which do not bind to the nuclear bases, but to the phosphorus-sugar backbone, e.g.histones.
Also, the energy needed to form circular deoxyribonucleic acid is investigated Olson aims to clarify the role of local structure on the overall folding of Ribonucleic acid, for instance the helices and loops in the ribosome.
A second goal is to uncover structural details of nucleic acid structural transitions, such as those involving different deoxyribonucleic acid duplexes. This information helps to design new drugs and materials.