Brenda M. Rubenstein
Joukowsky Family Assistant Professor of Chemistry, Brown University
Dr. Brenda Rubenstein is currently the Joukowsky Family Assistant Professor of Chemistry at Brown University. While the focus of her work is on developing new electronic structure methods, she is also deeply engaged in rethinking computing architectures.
Prior to arriving at Brown, she was a Lawrence Distinguished Postdoctoral Fellow at Lawrence Livermore National Laboratory. She received her Sc.B.s in Chemical Physics and Applied Mathematics at Brown University, her M.Phil. in Computational Chemistry while a Churchill Scholar at the University of Cambridge, and her Ph.D. in Chemical Physics at Columbia University.
John M. Hoffman
Lead Scientist at Quantitative Scientific Solutions (QS-2)
John Hoffman is a Lead Scientist at Quantitative Scientific Solutions (QS-2) where he serves as a subject matter expert in synthetic and molecular biology, bioinstrumentation, and nanofabrication. In this role he serves as the technical lead managing advanced research and development programs in Molecular Information Storage for the Federal Government as well as supporting technical road mapping and strategy development for commercial clients.
John has a background in polymer chemistry, DNA synthesis and sequencing, and CMOS based bioinstrumentation. Prior to joining QS-2, John was a senior scientist at DNA sequencing start-up Stratos Genomics prior to their acquisition by Roche Diagnostics. He has also held management positions at Medtronic Physio Control and Philips Medical Systems.
He received his PhD in Bioengineering from the University of Washington in 2010.
Department of Electrical Engineering & Paul G. Allen School of Computer Science & Engineering, University of Washington
Georg Seelig is an professor in the Department of Electrical Engineering and the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He is an adjunct professor in Bioengineering. The Seelig group is interested in understanding how biological organisms process information using complex biochemical networks and how such networks can be engineered to program cellular behavior.
Seelig holds a PhD in physics from the University of Geneva in Switzerland and did postdoctoral work in synthetic biology and DNA nanotechnology at Caltech.
He received a Burroughs Wellcome Foundation Career Award at the Scientific Interface, an NSF Career Award, a Sloan Research Fellowship, a DARPA Young Faculty Award and an ONR Young Investigator Award.