School of Engineering
Showing 31-40 of 56 Results
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Trevor Loy
Adjunct Lecturer, Management Science and Engineering
BioTrevor Loy is the Managing Partner and Founder of Flywheel Ventures, a seed- and early-stage venture capital firm that has invested in emerging startup ecosystems for more than twenty-five years.
As an Adjunct Lecturer at Stanford, Trevor teaches entrepreneurial management and finance in the Management Science & Engineering Department, where he is affiliated with the Stanford Technology Ventures Program, a research and teaching center he helped create as a graduate student. He also teaches professional and executive education programs for the Stanford Engineering Center for Global & Online Education, as well as for global companies, universities, governments, and sovereign wealth funds.
Trevor shapes venture capital and entrepreneurship policy as a former director of the National Venture Capital Association and a current member of its Board Alumni Council. He also served as Chair of VenturePAC, the venture capital industry's national political action committee, and is a frequent expert witness in private litigation and government policymaking worldwide.
Before founding Flywheel, Trevor held founding, executive, and technical roles at startups including Brooktree, Gigabeat, and ParkingNet, as well as at large tech firms such as Intel, Rockwell, and Teradyne.
He holds a BS and MS in Electrical Engineering and an MS in Management Science & Engineering, all from Stanford University. -
Holly Elizabeth McCall
Program Manager, Management Science and Engineering - Technology Ventures Program
Current Role at StanfordProgram Manager STVP
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Dale Nesbitt
Adjunct Lecturer, Management Science and Engineering
BioDr. Nesbitt has been teaching MSE 252 (Decision Analysis), MSE 352 (Professional Decision Analysis), MSE 353 (Advanced Decision Analysis), MSE 299 (Coercion Free Social Systems), and MSE 254 (The Ethical Analyst) in the department. He has practiced and taught in these fields, and economic modeling, for several decades.
Dr. Nesbitt has been researching Bayesian statistical analysis, ethics, and ethical theories in a general setting (i.e., personal ethics not necessarily associated with any particular field or discipline). His research focuses on ethics per se, not ethics related to a specific technology, commodity, discipline, area, or practice. He is currently focused on ethics from a socio-personal perspective, one in which coercion is minimized or sanctioned, one that blends the utilitarian approach of Harsanyi, Mill, Bentham, and others with the uncoerced game theory approach of Nash and Harsanyi. The objective of this research is to give a roadmap for people (and groups) to behave ethically and do good and also to be able to consider ethical decision making under uncertainty.
Dr. Nesbitt is completing a monograph on Bayesian Linear Regression intended to unify key dimensions of the field around a pure Bayesian probabilistic viewpoint, what he calls “unabashed Bayes.” The monograph is scheduled for completion in 2022. Dr. Nesbitt continues to research and practice Bayesian regression and probabilistic analysis, recently applying it to disciplines such as automobile selection, jet technology and fuel projection, and petrochemicals demand.
Dr. Nesbitt has focused for many years on building economic-environmental models of the key energy commodities—oil and refined products, natural gas, petrochemicals, automobiles, electric power generation, natural gas and electricity storage, renewable energy, environmental emissions and remediation, and demand/emission. His models and work in the field are well known, extending the classical economic equilibrium approach.
Dr. Nesbitt has worked and published in the field of semi-Markovian Decision Problems (the area of his thesis at Stanford), energy economics, cartels and monopolies, methods for modeling markets, Bayesian statistics, and free (meaning uncoerced) social systems.
