Douglas Densmore, PhD

Professor Douglas Densmore, PhD
Boston University

Associate Professor, Electrical and Computer Engineering Dept.
Director, CIDAR Group
Primary Investigator, Center of Synthetic Biology
Faculty, Molecular Biology, Cell Biology and Biochemistry Program
Faculty, Bioinformatics Program
Faculty, Biomedical Engineering Dept.
Affiliated PI, SynBERC

Mailing Address:

Douglas Densmore
Boston University
Department of Electrical and Computer Engineering
Photonics Building, Rm 335
8 Saint Mary’s Street
Boston, MA 02215

Office: (617) 358-6238
Fax: (617) 353-6440

Doug Densmore

Douglas Densmore is a Kern Faculty Fellow, a Hariri Institute for Computing and Computational Science and Engineering Faculty Fellow, and Associate Professor in the Department of Electrical and Computer Engineering at Boston University. His research focuses on the development of tools for the specification, design, and assembly of synthetic biological systems, drawing upon his experience with embedded system level design and electronic design automation (EDA). Extracting concepts and methodologies from these fields, he aims to raise the level of abstraction in synthetic biology by employing standardized biological part-based designs which leverage domain specific languages, constraint based device composition, visual editing environments, and automated assembly.

He is the director of the Cross-disciplinary Integration of Design Automation Research (CIDAR) group at Boston University, where his team of staff and postdoctoral researchers, undergraduate interns, and graduate students develop computational and experimental tools for synthetic biology. His research facilities include both a computational workspace in the Department of Electrical and Computer Engineering as well as experimental laboratory space in the Boston University Biological Design Center (BDC). He is the lead PI for the NSF Expeditions “Living Computing Project” and a Senior Member of the IEEE and ACM.

His research interests include Computer Architecture, Embedded Systems, Logic Synthesis, Digital Logic Design, System Level Design, and Synthetic Biology.

Douglas Densmore received his Bachelor of Science in Computer Engineering from the University of Michigan in April 2001.

He received his Masters of Science in Electrical Engineering from the University of California at Berkeley in May 2004. His master’s thesis, “Platform Based Reconfigurable Architecture Exploration vis Boolean Expression,” demonstrated how boolean satisfiability could be used to produce configurations for programmable hardware.

He went on to receive his PhD in Electrical Engineering from UC Berkeley as well in May 2007. His PhD thesis, “A Design Flow for the Development, Characterization, and Refinement of System Level Architecture Services,” investigated how electronic system level design methodologies can be abstract and modular while remaining accurate and efficient.

After his graduation, he became a UC Chancellor’s postdoctoral researcher at UC Berkeley under Professor Alberto Sangiovanni-Vincentelli, where he studied the development of System Level Design methodologies for electronic systems, particularly architecture modeling and refinement verification. He also served as the leader of the UC Berkeley Software team in the International Genetically Engineered Machine (iGEM) competition, which earned a gold medal and the “Best Software Tool” award in 2008 for the development of the Clotho toolset.

In 2010, he carried out his postdoctoral research in the Synthetic Biology Engineering Research Center (SynBERC) and the Joint BioEnergy Institute (JBEI), where he developed software tools for the design of synthetic biological devices.

Douglas Densmore spent more than four summers with the Intel Corporation during his undergraduate and graduate studies, and was involved in pre-silicon design efforts regarding chipset development, post-silicon validation of the Pentium 4 microprocessor, and chipset software validation. He also worked as a researcher at Cypress Semiconductor and Xilinx Research Labs, where he was granted a patent regarding data characterization of programmable devices, such as field programmable gate arrays.

He is currently a member of the Gigascale Systems Research Center (GSRC), the Center for Hybrid and Embedded Software Systems (CHESS), and the Synthetic Biology Engineering Research Center (SynBERC).

He has published work regarding a method of successful refinement verification of electronic systems, taxonomies of EDA design tools, and algebraic frameworks for the manipulation of functional design descriptions to expose computational parallelism.

He is the founder of the Nona Research Foundation, as well as the International Workshop on Bio-Design Automation (IWBDA), which is co-located at the annual Design Automation Conference (DAC). He is also the co-founder of the Bio-Design Automation Consortium (BDAC).

Inaugural Design Automation Conference Under-40 Innovators Awardee, 2017
Hariri Institute Faculty Fellow 2016
ACM Senior Member
IEEE Senior Member
National Academy of Engineering (NAE) U.S. Frontiers of Engineering Symposium participant, 2013
Boston University Ignition Award, 2013
Boston University College of Engineering Early Career Research Excellence Award, 2013
NSF Faculty Early Career Development (CAREER) Award, 2013
Hariri Institute for Computing and Computational Science and Engineering Junior Faculty Fellow, 2012-2014
Boston University Dean’s Catalyst Award, 2012
Boston University ECE Award for Excellence in Teaching, 2012
Richard and Minda Reidy Family Career Professor, 2010-2013
International Genetically Engineered Machine Competition “Best Software”, 2008, 2009, 2011
International Genetically Engineered Machine Competition Gold Medals, 2008, 2009, 2011, 2012
Eagle Scout Award – Boy Scouts of America
Computational Synthetic Biology for Engineers – Course Website