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Curriculum Vitae Curriculum Vitae Bruno A. Olshausen Born September 28, 1962, Sunset Beach, California. Address: 2403 McGee Avenue [email protected] Berkeley, California 94703 http://redwood.berkeley.edu/bruno (530) 518-0859 (cell) (510) 642-7250 (office) Degrees Ph.D. 1994 Computation and Neural Systems, California Institute of Technology. M.S. 1987 Electrical Engineering, Stanford University. B.S. 1986 Electrical Engineering, Stanford University. Positions 2010{ Professor, Helen Wills Neuroscience Institute and School of Optometry, University of California, Berkeley. 2005{ Director, Redwood Center for Theoretical Neuroscience, UC Berkeley. 2005{2010 Associate Professor, Helen Wills Neuroscience Institute and School of Op- tometry, University of California, Berkeley. 2003{2005 Associate Professor, Section of Neurobiology, Physiology & Behavior, Uni- versity of California, Davis. 2002{2005 Senior Research Scientist, Redwood Neuroscience Institute, Menlo Park, California. 2001{2003 Associate Professor, Department of Psychology, University of California, Davis. 1996{2001 Assistant Professor, Department of Psychology, University of California, Davis. 1996 Postdoctoral Fellow, Center for Biological and Computational Learning, Massachusetts Institute of Technology. 1994{1996 Postdoctoral Fellow, Department of Psychology, Cornell University. 1987{1989 Research Associate, Research Institute for Advanced Computer Science, NASA Ames Research Center. Awards and honors 2007{ Fellow, Canadian Institute for Advanced Research, Learning in Brains and Machines program. 2008{2009 Fellow, Wissenschaftskolleg zu Berlin Patents 2008 Rozell CJ, Olshausen BA, Baraniuk RG, Johnson DH, Ortman RL, \Ana- log System For Computing Sparse Codes," U.S. Patent Application No: 12/035,424 Grants Active 2019{2021 Bruno A. Olshausen, P.I., Pentti Kanerva, Co-P.I., \Computing in Holo- graphic Representation," Air Force Office of Scientific Research, $412,000 (total) 2017{2020 Friedrich Sommer, P.I., Bruno A. Olshausen, Co-P.I., Saeed Saremi, Co- P.I., \RI: Small: Extracting and understanding sparse structure in spa- tiotemporal data," NSF, $500,000 (total) 2016{2020 Bruno A. Olshausen, P.I., Sayeef Salahuddin, Lead-P.I., \ENIGMA: En- ergy Efficient Learning Machines using Hyper-Dimensional Vector Space Model," NSF/SRC, $400,000 (total) Past 2012{2017 Bruno A. Olshausen, P.I., Naresh Shanbag, Lead-P.I., \Systems on Nanoscale Information Fabrics," SRC Starnet, $960,000 (total) 2015{2016 Bruno A. Olshausen, P.I., \Perceptual Systems Based on Cortical Compu- tation," DARPA, $591,416 (total) 2011{2016 Bruno A. Olshausen, P.I., Michael S. Lewicki, P.I., Wilson S. Geisler, P.I., \RI: Large: Collaborative Research: 3D structure and motion in dynamic natural scenes," NSF (IIS-1111654), $680,000 (total) 2008{2016 Bruno A. Olshausen, P.I., Chris Rozell, co-P.I., \Unsupervised Learning of Hierarchical Structure in Multi-Band Imagery," National Geospatial- Intelligence Agency (HM1582-08-1-0007), $298,480 (total). 2009{2015 Bruno A. Olshausen, P.I., Charles M. Gray, P.I., Christopher J. Rozell, P.I. \CRCNS: Neural Population Coding of Dynamic Natural Scenes, NIH (R01 EY019965), $1,726,284 (total) 2009{2014 Frederic Theunissen, P.I., Michael Gastpar, co-P.I., Bruno A. Olshausen, co-P.I. \CRCNS: Ethological Theories of Optimal Auditory Processing," NIH (R01 DC007293), $1,000,000 (direct) 2009{2013 Kilian Koepsell, P.I., Bruno A. Olshausen, co-P.I., \RI:Multivariate Phase Models for Image and Signal Processing," NSF, $442,888 (total) 2009{2011 Paul Rhodes, P.I., Stephen Baccus, Gert Cauwenberghs, Jim DiCarlo, Costa Colbert, Jack Gallant, Christopher Geyer, Tibor Kozek, Bruno Ol- shausen, co-P.I.s, \Neovision2," DARPA. 2007{2011 Bruno A. Olshausen, P.I., David K. Warland, P.I., \Collaborative research: Hierarchical models of time-varying natural images," NSF (IIS-0705939) $439,935 (total). 2007{2009 Friedrich T. Sommer, P.I., Bruno A. Olshausen, co-P.I., \CRCNS data sharing: Central facility and services," NSF (IIS-0749049) $200,000 (total). 2006{2007 Bruno A. Olshausen, P.I., David K. Warland, co-P.I., \Collaborative re- search: Hierarchical models of time-varying natural images," NSF (IIS- 0625223) $100,000 (total). 2005{2008 David K. Warland, P.I., Bruno A. Olshausen, Co-P.I., \Bilinear mod- els of natural images and their application to image analysis," National Geospatial- Intelligence Agency, (HM1582-05-1-2017) $460,209 (total). 2002{2006 Bruno A. Olshausen, P.I., \Sensory coding and the natural environment," NIH (R13-MH065347) $72,000 (direct). 2001{2005 Bruno A. Olshausen, P.I., \Informatics of human and monkey brain at- lases," (Project 4 of Program project, Ted Jones, PI), NIH (P29-MH60975) $452,579 (direct). 2000{2005 Leo M. Chalupa, P.I., Bruno A. Olshausen, Co-PI, \Development and re- organization of prenatal visual system," NEI (R01-EY03991) $1,250,000 (direct) 1999{2001 Charles M. Gray, P.I., Bruno A. Olshausen, Co-PI, \Neuronal Processing of Natural Images," NEI (R01-EY12478) $570,000 (direct) 1998{2003 Bruno A. Olshausen, P.I., “Efficient Coding in Visual Cortex," NIMH (R29-MH57921) $350,000 (direct) Teaching 2005{ School of Optometry, UC Berkeley Neural Computation (VS 265), Graduate elective. An introduction to mathematical and computational models of the nervous system. Theories of learning and self- organization in neural systems; Generative models and inference; Recurrent net- works and dynamical systems. (15 weeks) Proseminar in Visual Neuroscience (VS 212B), Graduate core course. Neurobiological substrates of vision, from retina to cortex. (six 1.5-hour lectures) Neuroanatomy/Neurophysiology of the Eye & Visual System (VS 206D), Clinical Op- tometry core course. Neural circuitry and information processing in the retina. (six two-hour lectures) 1996{2005 Dept. of Psychology and Dept. of Neurobiology, Physiology & Behavior, UC Davis Information Processing Models in Neuroscience and Psychology (NPB 163), Undergrad- uate/graduate elective. Mathematical tools as they are applied toward understand- ing information processing in nervous systems, including linear systems theory, Fourier transforms, neural networks, adaptive systems, probabilistic inference and information theory. Sensory Processes (PSC 129), Undergraduate core course. Covers the neural mech- anisms underlying perception, the physics of light and sound, and psychological characterizations of perceptual processes. Topics in Vision (NPB 261B), Graduate elective. Second quarter of three-quarter se- quence on vision, focuses on central mechanisms (LGN and cortex) drawing upon systems neuroscience, psychophysics, and computational modeling approaches. Cognitive Neuroscience (PSC 263), Graduate core course. The neurobiological basis of higher mental function: visual and auditory cognition, attention, memory, lan- guage, and executive function. Students Current Steven Shepard, Vision Science (second year) Jasmine Collins, Computer Science (second year) Vasha Dutell, Vision Science (fourth year) Spencer Kent, Electrical Engineering (fourth year) Shariq Mobin, Neuroscience (fourth year) Sophia Sanborn, Psychology (fourth year) Ryan Zarcone, Biophysics (fourth year) Brian Cheung, Vision Science (sixth year) Dylan Paiton, Vision Science (sixth year) Yubei Chen, Electrical Engineering (seventh year) Eric Weiss, Neuroscience (seventh year) Past Alex Anderson, Ph.D. 2018, Physics, U.C. Berkeley. Thesis: \Noise, Quantization and Priors in Neural Networks." (Currently at WaveOne) Tyler Lee (co-advised with Frederic Theunissen), Ph.D. 2016, Neuroscience, U.C. Berke- ley. Thesis: \Hearing through the noise: biologically inspired noise reduction." (Currently at Intel Nervana) Chayut Thanapirom (co-advised with Mike DeWeese), Ph.D. 2016, Physics, U.C. Berke- ley. Thesis: \Neural Representation Learning with Denoising Autoencoder Frame- work." (Currently at Google) Zayd Enam, Bachelors honors thesis and Haas Fellow 2014, Electrical Engineering, U.C. Berkeley. Thesis: \Sparse multiscale representations for large images." (Currently graduate student at Stanford, Electrical Engineering) Michael Hadley, Masters 2013, Vision Science, U.C. Berkeley. Thesis: \Designing a Computational Foundation to Study Direction Selectivity: Starburst Amacrine Cells." (Currently student at the School of the Art Institute of Chicago) Jascha Sohl-Dickstein, Ph.D. 2012, Biophysics, U.C. Berkeley. Thesis: “Efficient Meth- ods for Unsupervised Learning of Probabilistic Models." (Currently Senior Research Scientist at Google) Amir Khosrowshahi, Ph.D. 2011, Vision Science, U.C. Berkeley. Thesis: \The lam- inar organization of V1 neural activity in response to dynamic natural scenes." (Currently CTO and Co-founder, Nervana/Intel) Jack Culpepper, Ph.D. 2011, Computer Science, U.C. Berkeley. Thesis: \Learned Fac- torization Models to Explain Variability in Natural Image Sequences." (Currently at Yahoo labs) Jimmy Wang, Ph.D. 2010, Vision Science, U.C. Berkeley. Thesis: \Learning Transfor- mations From Video." (Currently at Zendar.io) Charles Cadieu, Ph.D. 2009, Neuroscience, U.C. Berkeley. Thesis: \Probabilistic Mod- els of Phase Variables for Visual Representation and Neural Dynamics." (Co- founder, Bay Labs) Pierre Garrigues, Ph.D. 2009, Electrical Engineering, U.C. Berkeley. Thesis: \Sparse Coding Models of Natural Images: Algorithms for Efficient Inference and Learning of Higher-Order Structure." (Currently group lead at Yahoo labs) Jeff Johnson, Ph.D. 2004. Neuroscience, U.C. Davis. Thesis: \Visual object recognition: Timing and occlusion-related effects.” (Currently
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