Stanford University
Showing 141-160 of 2,249 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. -
Elizabeth Bailey, MD, MPH
Clinical Professor, Dermatology
BioDr. Elizabeth Bailey is a Clinical Professor of Dermatology at Stanford and serves as Residency Program Director and Associate Chair of Education for the Department of Dermatology. She also serves as Assistant Dean of Learner Assessment and Support for Graduate Medical Education.
She has a passion for thinking about how we communicate and how we can leverage relationships to improve how we learn, communicate, and work as a team in an inclusive and supportive environment. She loves thinking about this in the context of developing relationships with patients to help them achieve the best possible outcomes and in the context of helping our clinical teams perform to the best of their abilities. Her recent work has included development of a longitudinal coaching program for dermatology residents with a focus on patient and team communication skills development, the impact of coaching on faculty coaches in dermatology, and research on the long-term impact of longitudinal coaching on resident graduates' approach to learning.
Dr. Bailey graduated magna cum laude from Harvard University and received her medical degree from Columbia University in New York, where she was a member of the Alpha Omega Alpha honor society. She completed her internship in internal medicine at Brigham and Women’s Hospital in Boston, and completed both her residency in dermatology and fellowship in dermatopathology at Stanford University Medical Center. She is board certified in dermatology and dermatopathology by the American Boards of Dermatology/Pathology.
Dr. Bailey's academic interests include graduate medical education, coaching in medical education, global health education and leadership development, and interprofessional team communication. -
Irene Bailey
Clinical Trials Reg Spclst 2, Dermatology
BioIrene Bailey is a Regulatory Specialist supporting Dr. Jean Tang in the Dermatology Department. She is a trained clinical laboratory technologist from the Munster Technological University, Cork, Ireland. She worked in pre-clinical research for many years before transitioning her career to clinical research. Irene holds a Certificate in Clinical Trials Design and Management from UC Santa Cruz Extension. She started her career in clinical research at the Stanford Cancer Center, Clinical Trials Office before joining Dr. Tang's Team in 2011.
Outside of work Irene enjoys visual and performing arts, Pilates and yoga. -
Jamie Bailey
Manager, Enablement, Business Strategy and Services
Current Role at StanfordI am a Business Relationship Manger in the Business Strategy and Services team within Financial Management Services (FMS). I work with campus and internal FMS partners to help with changes to policies and systems that affect campus.
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Matthew Bain
Staff Scientist Laser Science, LCLS - Linac Coherent Light Source
Current Role at StanfordLead for the Ultrafast Visible and UV Pulses group in the Laser Science Department of the Science Research & Development Division of LCLS
Laser Science Point of Contact and SLSO for the chemRIXS Instrument at LCLS -
Michael Baiocchi
Associate Professor of Epidemiology and Population Health and, by courtesy, of Statistics and of Medicine (Stanford Prevention Research Center)
BioProfessor Baiocchi is a PhD statistician in Stanford University's Epidemiology and Population Health Department. He thinks a lot about behavioral interventions and how to rigorously evaluate if and how they work. Methodologically, his work focuses on creating statistically rigorous methods for causal inference that are transparent and easy to critique. He designed -- and was the principle investigator for -- two large randomized studies of interventions to prevent sexual assault in the settlements of Nairobi, Kenya.
Professor Baiocchi is an interventional statistician (i.e., grounded in both the creation and evaluation of interventions). The unifying idea in his research is that he brings rigorous, quantitative approaches to bear upon messy, real-world questions to better people's lives.
