School of Engineering
Showing 41-50 of 689 Results
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Gill Bejerano
Professor of Developmental Biology, of Computer Science and of Pediatrics (Genetics)
Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system. -
Stacey Bent
Jagdeep & Roshni Singh Professor in the School of Eng, Professor of Energy Science and Eng, Senior Fellow at Precourt & Prof, by courtesy, of Electrical Eng, Materials Sci Eng & Chemistry
On Leave from 04/01/2025BioThe research in the Bent laboratory is focused on understanding and controlling surface and interfacial chemistry and applying this knowledge to a range of problems in semiconductor processing, micro- and nano-electronics, nanotechnology, and sustainable and renewable energy. Much of the research aims to develop a molecular-level understanding in these systems, and hence the group uses of a variety of molecular probes. Systems currently under study in the group include functionalization of semiconductor surfaces, mechanisms and control of atomic layer deposition, molecular layer deposition, nanoscale materials for light absorption, interface engineering in photovoltaics, catalyst and electrocatalyst deposition.
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Michael Bernstein
Professor of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
BioMichael Bernstein is a Professor of Computer Science at Stanford University, where he is a Bass University Fellow and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence. A nationally bestselling author, Michael focuses on designing social, societal, and interactive technologies. This research has been reported in venues such as The New York Times, TED AI, and MIT Technology Review, and Michael himself has been recognized with an Alfred P. Sloan Fellowship and the Computer History Museum's Tech for Humanity Prize. Michael holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.
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Sarah Billington
UPS Foundation Professor, Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment
BioMy research program focuses on the impact of sustainable building design and materials on human wellbeing. This work includes developing design tools to quantify nature experience in buildings, understanding and increasing wellbeing in and through affordable housing, and identifying the risk of forced labor in building material supply chains through fingerprinting and AI methods. The goal of my research program is to provide building occupants, designers, and owners tools to achieve built environments that meet their needs for environmental and social sustainability and to design interventions that support human wellbeing over time while preserving privacy. While no longer active in this area, my group has a long history of expertise in the design and evaluation of sustainable, durable construction materials including bio-based composites and ductile cement-based composites.
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Lacramioara Bintu
Associate Professor of Bioengineering
BioLacra Bintu is an Associate Professor of Bioengineering and a member of the Biophysics Program and Bio-X Institute at Stanford University. She earned undergraduate degrees in Physics, Mathematics, and Neuroscience from Brandeis University. As an undergraduate working with Jane Kondev and Rob Phillips, she used statistical mechanics to model transcription factor binding and gene regulation. She completed her Physics Ph.D. at U.C. Berkeley with Carlos Bustamante, where she used single-molecule approaches to study transcription on nucleosomal templates. As a postdoctoral scholar at Caltech with Michael Elowitz, she used live-cell microscopy to investigate chromatin-mediated gene regulation.
Her group seeks to discover fundamental principles of gene regulation and advance mammalian synthetic biology, with an emphasis on causal mechanisms, dynamic responses, and single-cell variability that enable signal integration at the population level. The lab develops tools to manipulate gene expression, for example by recruiting chromatin, transcriptional, or RNA regulators to defined genomic loci, or building DNA regulatory elements such as signal-responsive enhancers or silencers. To assess gene regulation responses at scale, the lab is using and developing new sequencing and imaging based techniques such as: delivery of large DNA libraries to cells coupled with sorting based on fluorescent and magnetic reporters, time-lapse fluorescence microscopy and in situ sequencing, or single-molecule footprinting of transcription factors and nucleosomes binding in live cells. Her group uses mathematical modeling to capture the fundamental principles underlying the observed gene expression responses and to predict new behaviors. This work provides insight into epigenetic mechanisms underlying development, cancer, and immune function and informs strategies for gene therapies that correct aberrant expression states.
Lacra lives in Menlo Park with her husband Anton and son Manu. They enjoy hiking, cooking, reading, playing board games, and watching birds in their backyard with their two cats. -
Biondo Biondi
Barney and Estelle Morris Professor
Current Research and Scholarly InterestsResearch
My students and I devise new algorithms to improve the imaging of reflection seismic data. Images obtained from seismic data are the main source of information on the structural and stratigraphic complexities in Earth's subsurface. These images are constructed by processing seismic wavefields recorded at the surface of Earth and generated by either active-source experiments (reflection data), or by far-away earthquakes (teleseismic data). The high-resolution and fidelity of 3-D reflection-seismic images enables oil companies to drill with high accuracy for hydrocarbon reservoirs that are buried under two kilometers of water and up to 15 kilometers of sediments and hard rock. To achieve this technological feat, the recorded data must be processed employing advanced mathematical algorithms that harness the power of huge computational resources. To demonstrate the advantages of our new methods, we process 3D field data on our parallel cluster running several hundreds of processors.
Teaching
I teach a course on seismic imaging for graduate students in geophysics and in the other departments of the School of Earth Sciences. I run a research graduate seminar every quarter of the year. This year I will be teaching a one-day short course in 30 cities around the world as the SEG/EAGE Distinguished Instructor Short Course, the most important educational outreach program of these two societies.
Professional Activities
2007 SEG/EAGE Distinguished Instructor Short Course (2007); co-director, Stanford Exploration Project (1998-present); founding member, Editorial Board of SIAM Journal on Imaging Sciences (2007-present); member, SEG Research Committee (1996-present); chairman, SEG/EAGE Summer Research Workshop (2006) -
Juan Blanch
Sr Research Engineer
Current Research and Scholarly InterestsMy research focuses on the design of navigation integrity algorithms for safety critical applications (like air navigation and autonomous driving). I am interested in both the design of practical algorithms that provide the required safety margins, and in the theoretical limits on the performance of the integrity monitoring algorithms.
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Jose H. Blanchet
Professor of Management Science and Engineering
BioJose Blanchet is a Professor of Management Science and Engineering (MS&E) at Stanford and an Amazon Scholar. Prior to joining MS&E, he was a professor at Columbia (Industrial Engineering and Operations Research, and Statistics, 2008-2017), and before that he taught at Harvard (Statistics, 2004-2008). Jose is Fellow of the Institute of Mathematical Statistics. He is a recipient of the 2010 Erlang Prize and several best publication awards in areas such as applied probability, simulation, operations management, and revenue management. Jose also received a Presidential Early Career Award for Scientists and Engineers in 2010. He also has received numerous funding awards from various agencies and companies. He currently leads a Department of Defense Multi-University Research Initiative on extreme events. Jose has research interests in applied probability and Monte Carlo methods. He is the Area Editor of Stochastic Models in Mathematics of Operations Research. He has served on the editorial board of Advances in Applied Probability, Bernoulli, Extremes, Insurance: Mathematics and Economics, Journal of Applied Probability, Queueing Systems: Theory and Applications, and Stochastic Systems, among others.
