School of Engineering
Showing 801-850 of 6,717 Results
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Lynette Cegelski
Monroe E. Spaght Professor of Chemistry and Professor, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsResearch in the Cegelski laboratory is driven by the need to uncover and define the chemistry that underlies outstanding challenges in human health, the environment, and sustainability. Beyond discovery, we use chemistry as a tool to innovate and create solutions to these pressing problems. The laboratory is highly interdisciplinary, designing experimental approaches to understand how complex biological systems are built, organized, and controlled, and then perturb and influence assembly processes. The lab develops new methods and uniquely leverages: (1) small molecules in new biochemical assay development, chemical genetics approaches, and therapeutic discovery in infectious diseases, (2) fluorescence and electron microscopy coupled to analytical HPLC, mass spectrometry, and complementary biochemical techniques, and (3) spectroscopy, particularly solid-state NMR, to uncover new “dark matter” and define chemistry in insoluble, heterogeneous and complex assemblies relevant to human health, plants, and the ocean.
Long-standing efforts in the laboratory focus on defining mechanisms underlying bacterial biofilm formation and identifying new antibiotic and anti-virulence strategies, including advancing therapeutic candidates for the most difficult-to-treat infections. Through these efforts, we uncovered a new chemical structure in nature: phosphoethanolamine (pEtN) cellulose. Cellulose is the most abundant biopolymer on earth and this discovery provided the first experimental validation of a naturally produced chemically modified cellulose. We are developing alternatively modified celluloses and polysaccharides and advancing new solutions for ecofriendly, sustainably sourced, and recyclable materials. Collectively, our projects span disciplines from molecular structure and assembly chemistry to living microbial communities and natural marine systems, while aiming to translate fundamental discoveries into therapeutic and materials solutions. -
Rahul Chajwa
Basic Life Research Scientist
Current Research and Scholarly InterestsMy HFSP project is focussed on understanding the birth, life and death of marine snow. A predictive understanding of the hydrodynamic, biotic, and non-equilibrium aspects of this sinking microbial ecosystem is a notoriously challenging and globally relevant problem and is the central theme of my research at Stanford University. I’m applying my training as a physicist to shed light on the dynamical aspects of microbial life in the ocean, and to contribute insights that can help mitigate the negative impact of human activities on global climate; something I feel strongly about.
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Edward Y. Chang
Adjunct Lecturer, Computer Science
BioEdward Y. Chang has been an adjunct professor in Stanford’s Computer Science Department since 2019. Previously, he was a tenured professor at UC Santa Barbara. From 2006 to 2012, he served as a director at Google Research, where he pioneered data-centric and parallel machine learning and contributed to the ImageNet project. Chang later became president of HTC Healthcare, where he developed AI-powered diagnostics and won the Tricorder XPRIZE. He has also held positions at HKUST and UC Berkeley. Chang earned an MS in Computer Science and a PhD in Electrical Engineering from Stanford. He is a Fellow of ACM and IEEE for his contributions to scalable machine learning and healthcare AI.
Since 2019, Chang’s research has focused on virtual assistance, collaborating with Monica Lam, and more recently on large language models (LLMs). He hypothesizes that LLM Collaborative Intelligence (LCI) could pave the way toward artificial general intelligence (AGI).
Chang has authored seven books, including:
Unlocking the Wisdom of Large Language Models (2024)
LLM Collaborative Intelligence: The Path to Artificial General Intelligence (2024)
Journey of the Mind (Poetry, 2023)
Mandarin translation of Erwin Schrödinger’s What is Life? Mind and Matter (2021)
Big Data Analytics for Large-Scale Multimedia Search (2019)
Nomadic Eternity (Poetry, 2012)
Foundations of Large-Scale Multimedia Information Management and Retrieval (2011) -
Fu-Kuo Chang
Professor of Aeronautics and Astronautics
BioProfessor Chang's primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, intelligent self-sensing diagnostics, and multifunctional energy storage composites for transportation vehicles as well as safety-critical assets and medical devices. His specialties include embedded sensors and stretchable sensor networks with built-in self-diagnostics, integrated diagnostics and prognostics, damage tolerance and failure analysis for composite materials, and advanced multi-physics computational methods for multi-functional structures. Most of his work involves system integration and multi-disciplinary engineering in structural mechanics, electrical engineering, signal processing, and multi-scale fabrication of materials. His recent research topics include: Multifunctional energy storage composites, Integrated health management for aircraft structures, bio-inspired intelligent sensory materials for fly-by-feel autonomous vehicles, active sensing diagnostics for composite structures, self-diagnostics for high-temperature materials, etc.
