Zeb Armstrong is a Computer Scientist in SRI International’s Speech Technology and Research (STAR) Laboratory. His main interest is preparing and transitioning speech technologies to fulfill the needs of government and commercial users through software testing and user interface design. He uses his experience with operational signals collection and audio processing to anticipate clients’ needs and inform design decision. Armstrong studied software engineering at Clarkson University before joining the US Army in 2013. While in the Army he worked as an Arabic linguist and signals intelligence analyst, serving in both tactical and strategic capacities.
Maria Alejandra Barrios
Dr. Maria Alejandra Barrios is a Senior data scientist at Lab41, In-Q-Tel. Her research interests include deep learning implementations for audio signal processing, time-series analysis, image processing, and computer vision. Dr. Barrios received her PhD. in plasma physics from University of Rochester in 2010. Prior to joining Lab41 Dr. Barrios was a staff scientist at Lawrence Livermore National Laboratory, working on laser-driven fusion experiments at the National Ignition Facility (NIF).
Horacio Franco is Chief Scientist in SRI International’s Speech Technology and Research (STAR) Laboratory. Since joining SRI in 1990, he has contributed in the areas of acoustic modeling, hybrid Hidden Markov Model (HMM)-neural net speech recognition approaches, speech recognizer architectures, speech technology for language learning, noise-robust speech recognition, and speech-to- speech translation systems. He has co-authored more than 70 papers, as well as several communications and book chapters. He holds several U.S. patents. He has also been active in leading efforts to develop and deploy SRI's speech technology in different areas of government and commercial use. His Ph.D. in engineering is from the University of Buenos Aires, Argentina.
Dr. Paul Gamble studied Biophysics at the University of Pennsylvania and received an MD from Washington University in St. Louis where he studied nerve-computer interfaces. He joined Lab 41 as a Data Scientist in September 2017 and is helping to develop a pipeline for classifying synthetic DNA sequences.
Martin Graciarena is a Technical Manager in SRI International’s Speech Technology and Research (STAR) Laboratory. His research interests include noise robust features; voice activity detection; speaker, language, and speech recognition; non-audible microphone signal processing; and bird song processing. He has more than 30 publications in peer-reviewed conferences and holds two patents. His Ph.D. in noise robust speech processing is from the University of Buenos Aires, Argentina.
Dr. Jeff Hetherly Dr. Jeff Hetherly is a data scientist at NVIDIA. His background is in scientific statistical analysis, methods for dimensionality reduction, and machine learning. Dr. Hetherly received his Ph.D. in experimental particle physics from Southern Methodist University where he spent two years located at CERN analyzing data for the ATLAS experiment.
Aaron Lawson is Assistant Director of SRI International’s Speech Technology and Research (STAR) Laboratory. His research interests include voice forensics and biometrics, language and speaker identification from speech, social media information extraction, noise robustness, and fielding systems. He has published more than 30 papers covering speech, natural language and linguistics. His Ph.D. in applied linguistics is from Cornell University.
Dr. Karl Ni is a Senior Software Engineer at Google. His interests lie in computer vision, audio signal processing, speech recognition, and natural language processing. Prior Dr. Ni served as principle investigator and program manager on laboratory directed projects at federally funded research and development centers, both MIT Lincoln Laboratory and Lawrence Livermore National Laboratory. Projects started and led at these organizations resided under the President’s BRAIN initiative, the Departments of Defense and Homeland Security, and internally funded research. Dr. Ni received his doctoral degree from the University of California, San Diego in Pattern Recognition Techniques for Image Processing, and he received his bachelors degree from the University of California at Berkeley.
Colleen Richey is an Advanced Linguist in SRI International’s Speech Technology and Research (STAR) Laboratory. Her research interests include automatic recognition of conversational speech, machine translation, language education, and speech and language technology for low- resource languages. She has published more than 20 papers in speech technology and machine translation. Her M.A. in linguistics is from Stanford University.
Allen Stauffer is a Computer Scientist in SRI International’s Speech Technology and Research (STAR) Laboratory. His main focus is preparing speech processing technologies for commercial and government transition, including software and hardware testing and validation, system evaluation and preparation of relevant data to meet client needs. A second facet of his work is in developing speech processing system requirements based on his understanding of client needs and interactions with the operational community. His M.A. in computer science is from the University of Texas at Dallas.
Dr. Cory Stephenson is a data scientist at Nervana, InTel. His background is in complex systems and non-equilibrium thermodynamics. His most recent work is in the application of machine learning and deep learning methods to audio signal processing. Dr. Stephenson received his Ph.D. from the University of Illinois at Urbana-Champaign.