School of Engineering
Showing 801-900 of 1,133 Results
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Stephen E Richardson
Software Developer Associate, Electrical Engineering
BioPublications: https://scholar.google.com/citations?user=O3IrDzwAAAAJ
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Justin S. Rogers
Research Oceanographer, Civil and Environmental Engineering
Staff, Program-Fringer O.BioPh.D. Civil & Environmental Engineering, Stanford University, 2016
M.S. Civil & Environmental Engineering, University of Wisconsin-Madison, 2006
B.S. Civil Engineering (Minor in Chemistry), University of Arizona, 2004
Research interests:
-Coastal resilience, risk, sea level rise, extreme events, compound hazards
-Impact of climate change on human and natural systems in coastal and nearshore environments
-Core model development for coastal applications, storm surge, tropical cyclones, flood risk, bottom boundary layers, turbulence, and multiscale physics.
I leverage the power of cloud computing, HPC systems and modern code frameworks, and adapt multiple analysis methods including dynamical models, machine learning, statistical methods, and field observations. -
Judith Romero
Chief Communications Officer, SCPD and Stanford Online, Stanford Engineering Center for Global and Online Education
Current Role at StanfordChief Communications Officer for the Stanford Engineering Center for Global & Online Education (CGOE) and Stanford Online. Responsible for web and social media sites, for public information and media relations, and for brand strategy and global marketing.
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William Rose
Masters Student in Computer Science, admitted Autumn 2022
CS Fall student, Computer ScienceBioI'm an undergraduate in the Earth and Planetary Sciences and Computer Science departments. My work focuses on data-driven critical mineral exploration with Mineral-X.
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Victor Saad
Lecturer, d.school
BioIn 2012, I designed my own Masters by completing 12 projects in 12 months. I called it The Leap Year Project and my experiences culminated with staging my graduation at a local TEDx and publishing a book of stories focused on the power of learning through risk. I later launched Experience Institute, an organization helping college students and career professionals learn and grow through real-world experiences.
In 2015, I was inducted into Forbes 30 Under 30 in the field of education. And in 2017, I joined the team at Stanford’s d.school as a Lecturer in Design, helping students reimagine their learning through experience. -
Marc Sanders
Chief Compliance Officer, Stanford Engineering Center for Global and Online Education
Current Role at StanfordChief Compliance Officer, Stanford Engineering Center for Global & Online Education
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Carine Sauquet
Administrative Associate, Civil and Environmental Engineering
BioCarine provides administrative support to Prof.Jenna Davis & Prof. Alexandria Boehm & Prof. Meagan Mauter and their teams. Carine earned a Master’s in Computer Science Law and New Technologies, and Bachelor Degree in Business Law from University Paris XI in France. She has a background managing legal operational teams.
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Serdar Selamet
Adjunct Lecturer, Civil and Environmental Engineering
BioAssoc. Professor with focus on Fire Engineering, Steel Structures and Numerical Modeling. Dr. Selamet specializes in fire protection engineering with focus on buildings and structures. His areas of expertise include heat transfer analysis, stability and critical temperature assessment of structural members, passive fire protection, building envelope (i.e. façade) fires, performance-based structural analysis under fire conditions and house fires in wildland urban interface. He specializes in providing origin and cause determinations for fires and explosions. Dr. Selamet has expertise in thermo-mechanical modeling and response using finite element software Abaqus and OpenSees Fire. In addition, he has gained experience using computer zone models such as OZone and Consolidated Model of Fire and Smoke Transport (CFAST) to simulate compartment fire dynamics.
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Austin Sendek
Adjunct Professor, Materials Science and Engineering
BioAustin Sendek is Adjunct Professor of Materials Science & Engineering at Stanford University. His research and teaching focuses broadly on harnessing the power of machine learning and A.I. to accelerate the design and discovery of new materials for decarbonizing the global economy. He serves as an advisor and collaborator on several initiatives at Stanford, spanning from fundamental materials science research to technology entrepreneurship mentoring. He is also the Founder and Chief Executive Officer of Aionics, Inc., a technology company dedicated to designing high performance batteries with A.I. and high performance compute (HPC)-based quantum mechanical simulation. He was included on the 2019 list of Forbes 30 Under 30 in Energy, and served as a Guest Lecturer in Mechanical Engineering at Columbia University in 2019 and 2020. He holds a B.S. in Applied Physics from UC Davis and a Ph.D. in Applied Physics from Stanford University.
Upcoming courses:
FALL 2023: Materials Science and Engineering 331: Computational materials science at the atomic scale. Introduction to computational materials science methods at the atomistic level, with an emphasis on quantum methods. A brief history of computational approaches is presented, with deep dives into the most impactful methods: density functional theory, tight-binding, empirical potentials, and machine learning-based property prediction. Computation of optical, electronic, phonon properties. Bulk materials, interfaces, nanostructures. Molecular dynamics. Prerequisites - undergraduate quantum mechanics. Experience writing code is preferred but not required.
Select publications:
AD Sendek, B Ransom, ED Cubuk, LA Pellouchoud, J Nanda, EJ Reed. Machine learning modeling for accelerated battery materials design in the small data regime. ACS Energy Materials 12, 2200553 (2022).
AD Sendek, Q Yang, ED Cubuk, KAN Duerloo, Y Cui, EJ Reed. Holistic computational structure screening of more than 12000 candidates for solid lithium-ion conductor materials. Energy & Environmental Science 10 (1), 306-320 (2017).
AD Sendek, ED Cubuk, ER Antoniuk, G Cheon, Y Cui, EJ Reed. Machine learning-assisted discovery of solid Li-ion conducting materials. Chemistry of Materials 31 (2), 342-352 (2018).
AD Sendek, G Cheon, M Pasta, EJ Reed. Quantifying the search for solid Li-ion electrolyte materials by anion: a data-driven perspective. The Journal of Physical Chemistry C 124 (15), 8067-8079 (2020).
AD Sendek, ER Antoniuk, ED Cubuk, B Ransom, BE Francisco, J Buettner-Garrett, Y Cui, EJ Reed. Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes. ACS Applied Materials & Interfaces 12 (34), 37957-37966 (2020).
J Xie, AD Sendek, ED Cubuk, X Zhang, Z Lu, Y Gong, T Wu, F Shi, W Liu, EJ Reed, Y Cui. Atomic Layer Deposition of Stable LiAlF4 Lithium Ion Conductive Interfacial Layer for Stable Cathode Cycling. ACS Nano 11 (7), 7019-7027 (2017).
B Ransom, N Zhao, AD Sendek, ED Cubuk, W Chueh, EJ Reed. Two low-expansion Li-ion cathode materials with promising multi-property performance. MRS Bulletin (2021).
ED Cubuk, AD Sendek, EJ Reed. Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data. The Journal of Chemical Physics 150 (21), 214701 (2019). -
Merlinda-Loriane Sewavi
Life Science Research Professional 2, Program-Skylar-Scott, M.
BioMerlinda-Loriane is a translational Bioprocess Engineer at Stanford University specializing in protocol architecture for stem cell regenerative systems. At Stanford, she is a member of the BASE Initiative, the Cardiovascular Institute, and holds joint appointments with the School of Engineering and School of Medicine in Bioengineering. Her work focuses on engineering scalable, sequencing-grade pipelines for 3D iPSC-derived cardiomyocyte models, including atrial and ventricular subtypes. She also specializes in developing full-stack molecular and bioprocess workflows that convert 2D cells into robust 3D systems, and her technical fluency spans RNA sequencing, qPCR, spatial transciptomics, and multi-omic integration for translational pipeline development.
She is an early foundational technical validator for a next-generation AI platform designed to optimize experimental workflows in microbiology, human biology, chemical biology, bioprocessing, and diagnostics. Her contributions shape how AI can support bench scientists with iterative protocol refinement in real-time lab contexts. She is also a National GEM Consortium Fellow and a Rackham Merit Fellow. -
Ronie Shilo
Chief Education Initiatives Officer, Stanford Engineering Center for Global and Online Education
Current Role at StanfordManaging Director, Programs Strategy and Development, Stanford Engineering Center for Global & Online Education
