个人简介

B.S., in Chemistry, San Diego State University; Ph.D., in Chemistry, University of California Berkeley Biosketch Prof. Marx got his B.S. in Chemistry from San Diego State University in 1968 and then his Ph.D. in Physical Chemistry in 1973 from the University of California Berkeley with Prof. John Hearst, doing his thesis research on some of the early characterization of the Human Repetitive DNA Sequences. He was then awarded a Muscular Dystrophy Society of America Fellowship to spend 2 years at the University of Edinburgh in the Institute of Animal Genetics from 1974 to 1976. After spending a transitional year as a postdoctoral fellow at the Worcester Foundation for Experimental Biology in Worcester Mass, he was hired in 1977 as an Assistant Professor of Chemistry at Dartmouth College and served as well as an Adjunct Professor in the Dartmouth Medical School in Hanover, NH. Upon coming to the University of Massachusetts Lowell in 1985, he quickly rose to Full Professor in 1989. In 1992, he received university approval to establish the Center for Intelligent Biomaterials, where he has served as Director to the present. Prof. Marx has received significant federal grant funding from a variety of federal sources (NIH, DOE, DOA, ARO, DARPA) as well as numerous industrial sources (many different pharmaceutical and biotech companies). He has: published over 200 papers, proceedings articles and book chapters in his different areas of research interest; has edited a recent MRT journal volume on nanomanufacturing; serves on two journal Editorial Boards (MRT, J. Bionanotech.) as well as review panels (NSF, Science Foundation Ireland). In 2000, he Co-Founded AnVil Informatics, Inc. a university spin-off company that received VC funding. He served on the Scientific Advisory Board of Anvil as well as a number of other companies.

研究领域

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Biochemistry, Physical Biochemistry, Data Mining, & Cheminformatics

Informatics based structure and classification studies of DNA and protein sequences from different organisms in the public databases using various computational approaches; Data mining of large biological, biomedical and molecular datasets; biosensor development; simulation and experimental verification of novel chiral metamaterials’ properties in the visible to THz