Stanford University
Showing 481-490 of 713 Results
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Jonathan Payne
Dorrell William Kirby Professor, Senior Associate Dean for Faculty Affairs, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy, of Biology
Current Research and Scholarly InterestsMy goal in research is to understand the interaction between environmental change and biological evolution using fossils and the sedimentary rock record. How does environmental change influence evolutionary and ecological processes? And conversely, how do evolutionary and ecological changes affect the physical environment? I work primarily on the marine fossil record over the past 550 million years.
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Kabir Peay
Senior Associate Dean for Education, Director of the Earth Systems Program, Professor of Biology, of Earth System Science and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsOur lab studies the ecological processes that structure natural communities and the links between community structure and the cycling of nutrients and energy through ecosystems. We focus primarily on fungi, as these organisms are incredibly diverse and are the primary agents of carbon and nutrient cycling in terrestrial ecosystems. By working across multiple scales we hope to build a 'roots-to-biomes' understanding of plant-microbe symbiosis.
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Deshan Perera
Postdoctoral Scholar, Biology
BioI am a Stanford Data Science Postdoctoral Scholar in the Department of Biology at Stanford University, supervised by Prof. Hunter Fraser. My research focuses on evolutionary dynamics and the development of high-performance computational tools to analyze complex biological systems. I earned my Ph.D. in Bioinformatics from the University of Calgary, Canada, where I investigated within-host evolution in pathogen genomics and cancer. Originally from Sri Lanka, I hold a First Class B.Sc. (Hons) in Biology from the University of Sri Jayewardenepura. I am passionate about advancing computational biology through the design and implementation of scalable software solutions that leverage GPU, CPU, and SSD architectures for large-scale genomic and evolutionary analysis.
