Stanford University
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William Durham
Bing Professor in Human Biology, Emeritus
BioWilliam (Bill) Durham is Bing Professor in Human Biology (Emeritus), Bass University Fellow in Undergraduate Education, and a Senior Fellow (Emeritus) in the Woods Institute for the Environment at Stanford. He has been jointly appointed in Human Biology and Anthropology at Stanford since 1977, when he came from the Society of Fellows at the University of Michigan. Bill was an undergraduate Biology major at Stanford, Class of 1971, and received the Lloyd W. Dinkelspiel Award at graduation for his contribution to undergraduate education via the NSF-funded Student Air Pollution Research Project, the first student initiative nationally to receive NSF funding.
Bill’s career has focused on two main themes: (1) putting principles of evolution to work in efforts to sustain the biological and cultural diversity of our world; and (2) identifying social dimensions of environmental problems in Latin America and working with local leaders to help solve them. He has carried out fieldwork in Peru, Brazil, and Ecuador (especially Galápagos) in South America, and in El Salvador, Honduras, Panama, and Costa Rica in Central America. In 1983, he was one of the first scholars to receive the MacArthur Prize Fellowship and has also received five five awards for research and teaching at Stanford, including one by vote of the students. Bill’s recent book, Exuberant Life: An Evolutionary Approach to Conservation in Galápagos (Oxford University Press, 2021) was named a Finalist for the 2022 PROSE Award from the Association of American Publishers.
Bill’s other publications include the books Scarcity and Survival in Central America (Stanford Press 1979; and in Spanish, by UCA Editores 1988), Coevolution: Genes, Culture, and Human Diversity (Stanford Press, 1991), The Social Causes of Environmental Destruction in Latin America (U. of Michigan Press, 1995, with M. Painter), Inbreeding, Incest and the Incest Taboo (Stanford Press 2004, with A. Wolf), and Ecotourism and Conservation in the Americas (CABI, 2008, with A. Stronza). In addition, he served as Editor in Chief for 16 volumes of the Annual Review of Anthropology between 1992 and 2008.
Bill was Founding Co-Director of the Center for Responsible Travel (CREST), a research organization that views tourism as a means to promote local livelihoods and environmental conservation. He was invited to design the Max Planck Institute for Environmental Anthropology and his proposal was accepted and implemented in Leipzig, Germany starting in 1997. Along with Stanford Professors Rodolfo Dirzo and Larry Crowder, Bill has been Co-director of the Osa-Golfito Initiative (INOGO) in the Woods Institute, working with Costa Ricans to develop a sustainability strategy for the southern region of the country.
He has led more than 50 Stanford Alumni Association trips to Galápagos, Costa Rica, the Amazon, East Africa, and elsewhere. -
Ram Duriseti
Clinical Associate Professor, Emergency Medicine
BioRam's Doctoral background and academic interests are in the computational modeling of complex decisions, algorithm design and implementation, and data driven decision making. Outside of clinical work, his main competencies in this regard are software development, algorithm design and implementation, cost-effectiveness analysis, and decision analysis through computational models. He has also collaborated with industry to create and deploy operation specific software involving statistical computing and reasoning under inference. He has been practicing clinical Emergency Medicine in both community and academic settings for over 20 years.
https://www.shiftgen.com/about
https://www.linkedin.com/in/ram-duriseti-991614/ -
Louis Durlofsky
Otto N. Miller Professor in the School of Earth Sciences
Current Research and Scholarly InterestsGeneral reservoir simulation, optimization, reduced-order modeling, upscaling, flow in fractured systems, history matching, CO2 sequestration, energy systems optimization
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Gozde Durmus
Assistant Professor (Research) of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsDr. Durmus' research focuses on applying micro/nano-technologies to investigate cellular heterogeneity for single-cell analysis and personalized medicine. At Stanford, she is developing platform technologies for sorting and monitoring cells at the single-cell resolution. This magnetic levitation-based technology is used for wide range of applications in medicine, such as, label-free detection of circulating tumor cells (CTCs) from blood; high-throughput drug screening; and rapid detection and monitoring of antibiotic resistance in real-time. During her PhD, she has engineered nanoparticles and nanostructured surfaces to decrease antibiotic-resistant infections.
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Zakir Durumeric
Assistant Professor of Computer Science
BioI am an Assistant Professor of Computer Science. My research brings a large-scale, empirical approach to the study of Internet security, trust, and safety. I am interested in how to protect people against attacks on the Internet ranging from cybercrime and harassment to censorship and disinformation. I am broadly an empiricist: I build systems to measure complex networked ecosystems at scale, which I use to understand real-world behavior, uncover weaknesses and attacks, architect more resilient defenses, and guide public policy.
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Alex Maurice Dussaq
Clinical Assistant Professor, Pathology
BioAlex Maurice Dussaq, M.D., Ph.D., is an assistant professor of breast pathology and an associate director of pathology informatics. Dr. Dussaq holds a B.S. in Mathematics and Biochemistry from University of Nevada, Reno and an M.D./Ph.D. from University at Alabama, Birmingham. His Ph.D. focused on novel platform informatics and statistical analysis. He completed a Pathology residency and fellowships at Stanford in breast pathology and clinical informatics. Dr. Dussaq's research interests include the implementation and creation of workflow tools for surgical pathology and lab. He is particularly interested in whole slide image management systems and the future applications of artificial intelligence and large language models in pathology and medicine..
