David A. Hoyt

David Hoyt joined SRI’s Board of Directors in January 2016. He retired in 2014 as a senior executive vice president and head of the Wholesale Banking Group for Wells Fargo...


David Cheney


David Walker

David Walker leads SRI’s Ocean Modeling program, which focuses on environmental modeling and estimation problems, using remote and in situ sensor data, for ocean and riverine applications. Walker’s specialties are...


David Lyzenga

David Lyzenga, Ph.D., is interested in radar measurements of ocean waves, currents, and other near-surface processes. He started his career at the Environmental Research Institute of Michigan (ERIM) and currently...


David Weaver

David Weaver is a senior research scientist in SRI International’s Microcircuit Emulation Center (MEC) in Princeton, NJ. He is focused on physical reverse engineering of microcircuits using electron beam and...


Michael E. Locasto

...the Trustworthy Systems Group and conducted research in trustworthy systems, cooperative security mechanisms and software security, with a particular emphasis on automated patch analysis, memory interception techniques and network intrusion...


Daniel Princiotta

...(2015). J.C. Nalle Community School: A study of a school turnaround effort. Bethesda, MD: Child Trends. Princiotta, D., Lippman, L., Ryberg, R., Schmitz, H., Murphey, D., & Cooper, M. (2014)....

Journal Article January 2018

How accurate is automated gap filling of metabolic models?

Reaction gap filling is a computational technique for proposing the addition of reactions to genome-scale metabolic models to permit those models to run correctly. Gap filling completes what are otherwise...

Journal Article January 2018

Evaluation of reaction gap-filling accuracy by randomization

Completion of genome-scale flux-balance models using computational reaction gap-filling is a widely used approach, but its accuracy is not well known. We report on computational experiments of reaction gap filling...

Conference Paper 2015

Prediction of heart rate changes from speech features during interaction with a misbehaving dialog system

...(cooperative system behavior) regions to posttrigger (uncooperative system behavior) regions. Results using random forest classifiers show that changes in spectral and temporal features of speech can predict heart rate changes...

Article 2015

The splicing modulator sudemycin induces a specific antitumor response and cooperates with ibrutinib in chronic lymphocytic leukemia.

Mutations or deregulated expression of the components of the spliceosome can influence the splicing pattern of several genes and contribute to the development of tumors. In this context, we report...

Article 2015

The spliceosome is a therapeutic vulnerability in MYC-driven cancer.

MYC (also known as c-MYC) overexpression or hyperactivation is one of the most common drivers of human cancer. Despite intensive study, the MYC oncogene remains recalcitrant to therapeutic inhibition. MYC...

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