School of Engineering
Showing 1-50 of 466 Results
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Ade Mabogunje
Sr Research Engineer
BioAde Mabogunje conducts research on the design thinking process with a view to instrumenting and measuring the process and giving feedback to design thinking teams on ways to improve their performance. He works in collaboration with partners in the engineering education, design practice and investment community as a participant-observer in the practice of building and developing ecosystems that support accelerated and continuous innovation in products and services. Prior to this he was the associate director of the Stanford Center for Design Research (CDR). He was also the lead of the Real-time Venture Design Lab program (ReVeL) in the school of Humanities and Sciences. His industry experience includes engineering positions at the French Oil Company Elf (now Total) and research collaboration with Artificial Intelligence Scientists at NASA Ames. He has publications in the areas of design theory and methodology, knowledge management, emotions in engineering, design protocol analysis, and engineering-design education.
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Viviana Macarelli
Postdoctoral Scholar, Bioengineering
BioViviana earned her PhD in Clinical Biochemistry from the University of Cambridge (UK) in 2024, where she focused on the role of primary cilia in metabolic sensing by the hypothalamus. She then joined the Lundberg lab as a postdoc for a project in collaboration with the Chan Zuckerberg Imaging Institute. She will focus on characterizing primary cilia in the adult brain using human induced pluripotent stem cells (hIPSC).
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Anders Gjølbye Madsen
Graduate Visiting Researcher Student, Computer Science
BioAnders Gjølbye Madsen is a PhD fellow at the Technical University of Denmark. His research focuses on trustworthy machine learning for healthcare, with an emphasis on explainability, interpretability, and reliable evaluation of models in high-stakes settings. He works broadly with modern deep learning methods, including self-supervised learning, and is interested in questions of robustness and alignment. He is the author of PatternLocal, a NeurIPS 2025 paper on reducing false-positive attributions in explanations of non-linear models by refining local explanation approaches. He earned a BSc in Artificial Intelligence and Data from DTU and completed an MSc in Engineering in Applied Mathematics at DTU, including a study exchange in Computational Science and Engineering at ETH Zürich. Anders will spend 2026 as a visiting researcher at Stanford University’s Trustworthy AI Research (STAIR) Lab, working with Professor Sanmi Koyejo.
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Alam Mahmud
Postdoctoral Scholar, Chemical Engineering
BioA curious individual, seeking truth and exploring wonders, as ever
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Pete Mahowald
Adjunct Lecturer, Electrical Engineering
BioInterests include wireless communication systems like those found in IoT and satellites, especially in the context of the student technology clubs. These clubs can support the curriculum, host career exploration and experiment with the wise application of AI in lab engineering. Of current interest is SMesh which uses LoRa Mesh Networking, the SAMWISE satellite testing, and classes such as EE156 (PCBs), EE133 (radio components), EE186 (embedded processors) and the AA capstone class for satellites. Experience in high volume and contract design and manufacturing at HP and Apple.
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Danielle Mai
Assistant Professor of Chemical Engineering and, by courtesy, of Materials Science and Engineering
BioDanielle J. Mai joined the Department of Chemical Engineering at Stanford in January 2020. She earned her B.S.E. in Chemical Engineering from the University of Michigan and her M.S. and Ph.D. in Chemical Engineering from the University of Illinois at Urbana-Champaign under the guidance of Prof. Charles M. Schroeder. Dr. Mai was an Arnold O. Beckman Postdoctoral Fellow in Prof. Bradley D. Olsen's group at MIT, where she engineered materials with selective biomolecular transport properties, elucidated mechanisms of toughness and extensibility in entangled associative hydrogels, and developed high-throughput methods for the discovery of polypeptide materials. The Mai Lab engineers biopolymers, which are the building blocks of life. Specifically, the group integrates precise biopolymer engineering with multi-scale experimental characterization to advance biomaterials development and to enhance fundamental understanding of soft matter physics. Dr. Mai's work has been recognized through the AIChE 35 Under 35 Award (2020), APS DPOLY/UKPPG Lecture Exchange (2021), Air Force Office of Scientific Research Young Investigator Program Award (2022), ACS PMSE Arthur K. Doolittle Award (2023), and MIT Technology Review List of 35 Innovators Under 35 (2023).
