School of Engineering
Showing 51-100 of 171 Results
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Adam Nayak
Acting Assistant Professor, Civil and Environmental Engineering
BioAdam Nayak will join Stanford Civil & Environmental Engineering as an Assistant Professor in Summer 2027. His research examines how the spatiotemporal organization of storms, floods, and droughts shapes risk across interconnected infrastructure, financial, and energy systems. Broadly, Adam’s work aims to bridge climate risk, stochastic hydrology, and machine learning to support resilient and affordable pathways for communities facing intensifying climate extremes. Adam received his PhD from Columbia University in Earth & Environmental Engineering where he was a National Science Foundation (NSF) Graduate Research Fellow, and his BS and MS from Stanford University in Civil & Environmental Engineering and Management Science & Engineering, respectively.
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Luke Neal
Masters Student in Chemical Engineering, admitted Autumn 2025
BioI'm currently a process engineer at Merck working at the Formulation and Laboratory Experimentation Facility with a focus on oral solid dosage production. I recently graduated from Yale University with a Bachelor’s of Science in Chemical Engineering and an Energy Studies certificate. At Yale, I was on the Varsity Men's Tennis team. My internship experiences during undergraduate studies included working as a Process Engineering Intern in ExxonMobil’s Technology and Engineering division. I was focused on modeling the extraction of battery grade lithium from brine. I also gained experience in the renewable energy and green engineering fields though my internships at Tesla and West Environmental.
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Drew Nelson
Professor of Mechanical Engineering, Emeritus
BioResearch involves development of improved methods for predicting the fatigue life of engineering materials, incuding the effects of manufacturing processes, and investigation of new approaches in the field of experimental mechanics, such as determination of residual stresses using optical methods.
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Dale Nesbitt
Affiliate, 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. -
Brett Newman
Lecturer
BioAcademic
2013 - 2018 : Stanford : Lecturer : Visual Thinking, ME115C: Design and Business Factors
2018 - Present : Stanford : Lead Lecturer : Design 161 Capstone
Professional
2004 - 2007 : Azud : VP Product
2007 - Present : Daylight Design : Partner -
Andrew Khoa Nguyen
Masters Student in Management Science and Engineering, admitted Autumn 2023
BioMS Management Science and Engineering (MS&E)
BA Economics with minor in Computer Science
