School of Engineering
Showing 351-400 of 6,719 Results
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Cynthia Bailey
Senior Lecturer of Computer Science
Current Research and Scholarly InterestsI have a PhD in Computer Science from the University of California, San Diego, in the area of High-Performance Computing (HPC), specifically market-based scheduling algorithms. My graduate research was done as part of San Diego Supercomputer Center (SDSC)'s Performance Modeling and Characterization Lab (PMaC), where I investigated economic models of scheduling on high performance computing systems. My adviser was Allan Snavely of SDSC.
My dissertation abstract is as follows: Effective management of Grid and HPC resources is essential to maximizing return on the substantial infrastructure investment these resources entail. An important prerequisite to effective resource management is productive interaction between the user and scheduler. My work analyzes several aspects of the user-scheduler relationship and develops solutions to three of the most vexing barriers between the two. First, users' monetary valuation of compute time and schedule turnaround time is examined in terms of a utility function. Second, responsiveness of the scheduler to users' varied valuations is optimized via a genetic algorithm heuristic, creating a controlled market for computation. Finally, the chronic problem of inaccurate user runtime requests, and its implications for scheduler performance, is examined, along with mitigation techniques.
My current research projects are in the area of Computer Science Education, with an emphasis on assessment and the use of Peer Instruction pedagogy in lecture. With colleagues Mark Guzdial, Leo Porter, and Beth Simon, I run the New CS Faculty Teaching Workshop, an annual "bootcamp" on how to teach effectively that draws attendees from dozens of the top CS programs in the country. The short-term goal is to give newly-hired faculty entering their first year of teaching the skills they need to succeed for themselves and their students. The long-term goal is to transform undergraduate education in CS by seeding our best rising stars with best practices so they can create communities of practice as their institutions and mentor their students in active learning strategies, creating a culture where these are the new norm. -
Michael Baird
Postdoctoral Scholar, Chemical Engineering
BioMike Baird obtained a B.S. in chemistry from University of California, Riverside. He then spent two years in industry at Illumina before resuming his studies at University of California, Berkeley, completing a Ph.D. in chemistry. Mike conducted his doctoral research in the laboratory of Brett Helms at Lawrence Berkeley National Laboratory, where he synthesized microporous polymer membranes and sorbents for lithium extraction from natural feedstocks which are highly dilute in the target species. He additionally investigated electrolytes for next-generation battery chemistries (i.e., lithium metal anode) with suitable transport and reactivity characteristics for aggressive battery operation.
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Christine M Baker
Assistant Professor of Civil and Environmental Engineering and, by courtesy, of Oceans
BioBaker’s research examines processes at the land-ocean interface, a highly dynamic region with fragile ecosystems, progressively vulnerable communities, and coastal hazards further magnified by a changing climate. Her research integrates laboratory experimentation with numerical modeling and remotely sensed field observations to build our fundamental understanding of hydrodynamics in coastal regions. The goals of her research include informing predictions of coastal water quality, shoreline evolution, and other coastal hazards and improving coastal resiliency in changing environments. Her ongoing and planned projects include studying wave transformation in shallow waters, surf-shelf transport driven by eddy and rip current dynamics, wave-driven sediment transport, and coupled hydro- and morphodynamics in the context of extreme events.
Baker completed a bachelors degrees in Civil Engineering from Oregon State University and a Masters and PhD in Civil & Environmental Engineering from the University of Washington. -
Jack Baker
William Alden Campbell and Martha Campbell Professor and Professor of Civil and Environmental Engineering
On Partial Leave from 10/01/2025 To 06/30/2026BioJack Baker is a Professor of Civil & Environmental Engineering and Associate Dean for Faculty Affairs in the Stanford Doerr School of Sustainability. He uses probabilistic and statistical tools to quantify and manage disaster risk and resilience. He has made contributions to risk analysis of spatially distributed systems, characterization of earthquake ground motions, and simulation of post-disaster recovery. He is an author of the textbook Seismic Hazard and Risk Analysis, Director of the Stanford Urban Resilience Initiative, Editor-in-Chief of Earthquake Spectra, and a Co-Founder of Haselton Baker Risk Group.
Prior to Stanford, Professor Baker was a visiting researcher at the Swiss Federal Institute of Technology (ETH Zurich). He has degrees in Structural Engineering (Stanford, M.S. 2002, Ph.D. 2005), Statistics (Stanford, M.S. 2004) and Mathematics/Physics (Whitman College, B.A. 2000). His awards include the William B. Joyner Lecture Award from the Seismological Society of America and Earthquake Engineering Research Institute, the Shah Family Innovation Prize from the Earthquake Engineering Research Institute, the CAREER Award from the National Science Foundation, the Early Achievement Research Award from the International Association for Structural Safety and Reliability, the Walter L. Huber Prize from the American Society of Civil Engineers, the Helmut Krawinkler Award from the Structural Engineers Association of Northern California, and the Eugene L. Grant Award for excellence in teaching from Stanford. -
Halleh Balch
Assistant Professor of Oceans and, by courtesy, of Electrical Engineering
BioHalleh B. Balch is an experimental physicist and HHMI Hanna H. Gray Faculty Fellow at Stanford University. Her research broadly focuses on advancing imaging, spectroscopy, and nanophotonics with a focus on applications in oceanography and water sustainability. Halleh received her PhD in physics from the University of California Berkeley and her undergraduate degree from Swarthmore College in physics and literature. Halleh joined Stanford as an Assistant Professor in the Doerr School of Sustainability in August 2025.
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Michelle Q. Wang Baldonado
Research Scientist
Current Research and Scholarly InterestsMichelle is currently exploring the space of robotics systems for older adults. Working to bridge the robotics and senior communities, she is especially interested in robots that encourage older adults to develop and maintain healthy habits as they age, with a focus both on reducing social isolation and on encouraging physical activity and time outdoors.
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Jon Ball
Ph.D. Student in Education, admitted Autumn 2020
Ph.D. Minor, Computer ScienceBioHi! I'm a 3rd year PhD Student in Education Data Science dedicated to improving information accessibility.
Recent projects include:
Natural Language Processing: language analytics for Open Journal Systems (OJS)
Graph ML: modeling citation networks of computer science publications (OJS/arXiv)
Social Network Analysis: clustering of philanthropic partnerships for the Jim Joseph Foundation (SF) -
Nicholas Bambos
Richard W. Weiland Professor in the School of Engineering and Professor of Electrical Engineering
BioNick Bambos is R. Weiland Professor in the School of Engineering at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He has been the Fortinet Founders Department Chair of the Management Science & Engineering Department (2016 – 20).
He heads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, comprised of doctoral students and industry visitors engaged in various research projects, and was the Director (1999 – 2005) of the Stanford Networking Research Center (a research project of about $30M). He has published over 300 peer-reviewed research publications and graduated over 40 doctoral students (including two post-doctoral ones), who have moved on to leadership positions in academia, the Silicon Valley industries and technology startups, finance and venture capital, etc.
His research interests are in architecture and high-performance engineering of computer systems and networks, as well as data analytics with an emphasis on medical and health-care analytics. His research contributions span the areas of networking and the Internet, cloud computing and data centers, multimedia streaming, computer security, digital health, etc. His methodological interests and contributions span the areas of network control, online task scheduling, routing and distributed processing, machine learning and artificial intelligence, etc.
He received his Ph.D. (1989) in Electrical Engineering & Computer Sciences from the University of California at Berkeley. Before joining Stanford in 1996, he served as assistant professor (1989 – 95) and tenured associate professor (1995 – 96) of Electrical Engineering at the University of California at Los Angeles (UCLA).
He has received several best research paper awards and has been the Cisco Systems Faculty Development Chair and the David Morgenthaler Faculty Scholar at Stanford. He has won the IBM Faculty Award, as well as the National Young Investigator Award and the Research Initiation Award from the National Science Foundation. He has been a Berkeley U.C. Regents Fellow, an E. C. Anthony Fellow, and a D. & S. Gale Fellow.
He has served on various editorial boards of research journals, scientific boards of research labs, international technical and scientific committees, and technical review panels for networking and computing technologies. He has also served on corporate technical boards, as consultant and co-founder of technology start-up companies, and as expert witness in high-profile patent litigation and other legal cases involving information technologies. -
Sujay Banerjee
Masters Student in Bioengineering, admitted Autumn 2025
Current Research and Scholarly InterestsI develop deep learning models for genomic and molecular data to advance precision medicine. My work spans deep learning-based methods for structural variant detection in genome sequencing, diabetetes risk prediction, and protein–ligand binding affinities predicion. I’m broadly interested in how AI can accelerate drug discovery, uncover disease mechanisms, and improve individualized healthcare.
