Stanford University
Showing 711-720 of 2,893 Results
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Kenneth Jeffrey Marshall
Winter CSP Instructor
BioKenneth Jeffrey Marshall is an author, professor, and value investor. He has taught value investing in the Continuing Studies program at Stanford since 2014, and personal finance since 2020. He is the author of the McGraw-Hill book "Good Stocks Cheap: Value Investing with Confidence for a Lifetime of Stock Market Outperformance," which was also published in Chinese; "Small Steps to Rich: Personal Finance Made Simple;" and "Good Debt Cheap: Value Investing in Bonds, Preferreds, and Other Fixed Income Securities."
Marshall also teaches industry analysis in the masters in engineering program at the University of California, Berkeley; and directs the value investing courses in the masters in finance program at the Stockholm School of Economics in Sweden. He holds a BA in Economics, International Area Studies from the University of California, Los Angeles; and an MBA from Harvard University. -
Nicholas P. Marshall
Affiliate, Department Funds
Fellow in Pediatrics - Infectious DiseasesBioI am a fellow in Pediatric Infectious Diseases and Clinical Informatics, working to advance infectious diseases care through innovation and best practices. My research leverages machine learning to enhance clinical decision-making by delivering data-driven insights that optimize healthcare delivery and advance antimicrobial and diagnostic stewardship. Beyond my scholarly activities, I am passionate about medical education, quality improvement, and high-value care.
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Phil Marshall
Senior Scientist, SLAC National Accelerator Laboratory
BioPhil is currently Deputy Director of Operations at the NSF-DOE Vera C. Rubin Observatory, and looking forward to all the science from its 10-year Legacy Survey of Space and Time (LSST). He helped form the LSST Dark Energy Science Collaboration at its inaugural meeting in 2012, and held leadership positions in it for 7 years until he moved to his current position at Rubin. (This included being collaboration Spokesperson 2017-2019, during which time he led the implementation of the collaboration's operations plan.) His long-standing scientific interest is strong gravitational lenses, whose Einstein rings and time delays can be used to probe the accelerated expansion history of the Universe, and which can help us probe the nature of Dark Matter via the sub-galactic structure than perturbs the lensing effect. Analyzing tens of thousands of these systems from the LSST will take new approaches to lens detection and modeling: Phil and his Strong Lensing Group at KIPAC are investigating machine learning with deep neural networks as a way to carry out principled, multi-level scientific inference at LSST scale. Phil did his PhD on Bayesian Analysis of Clusters of Galaxies at the University of Cambridge, during which time he first got interested in the process of measuring astronomical objects, including things like Dark Matter halos which we may not be able to observe directly. He first moved to Stanford in 2003 as one of KIPAC's first wave of postdocs, and returned as Kavli Fellow in 2009 after three years as TABASGO Fellow at the University of California, Santa Barbara. Phil then spent three years in Oxford as a Royal Society University Research Fellow, before moving back to join the SLAC staff on a permanent basis in 2013.
