Stanford Doerr School of Sustainability
Showing 101-121 of 121 Results
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Kimber Moreland, Ph.D.
Physical Science Research Scientist
Current Research and Scholarly InterestsCurrently my research mainly focuses on soil carbon biogeochemistry in different land use types such as agriculture, forests, meadows, and grasslands. I use stable and radioactive isotopes to trace the movement of carbon and nitrogen through the entire soil system. Specifically, I have focused on response to fire, disturbance, and climate change.
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Valerie Moss
Assistant Director of Student Services, Emmett Interdisciplinary Program in Environment and Resources
BioValerie Moss is the Assistant Director of Student Services for E-IPER. Prior to her position at Stanford, she served as Assistant Director of Student Affairs for the Master of Development Engineering (MDevEng) and Global Poverty and Practice (GPP) programs. In that role, she advised students, supported the master’s admissions process, and helped plan events for students and the broader campus community. Valerie earned her B.A. in Cognitive Science and Psychology from the University of California, Merced, and her M.S.Ed in Education Policy from the University of Pennsylvania. Through her educational journey and professional experience, Valerie has explored how interdisciplinary education, race, and financial support intersect to shape the student experience and postsecondary outcomes.
Outside of work, Valerie is reconnecting with her creative side through coloring, acrylic painting, and interior design. She also loves exploring new cuisines, which often leads her to cook far more food than a two-person household can handle. -
Joel Moxley
Adjunct Professor
BioJoel Moxley is a Precourt Energy Scholar and Adjunct Professor at Stanford University. He currently teaches Stanford Climate Ventures (Energy 203). Joel received his B.S.E in chemical engineering from Princeton University, and his Ph.D. in chemical engineering from Massachusetts Institute for Technology. He is Managing Partner at Echelon and a Venture Partner at Breakthrough Energy Ventures.
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Tapan Mukerji
Professor (Research) of Energy Science Engineering, of Earth and Planetary Sciences and of Geophysics
Current Research and Scholarly InterestsMy students and I use theoretical, computational, and statistical models, to discover and understand fundamental relations between geophysical data and subsurface properties, to quantify uncertainty in our geomodels, and to address value of information for decision making under uncertainty.
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Souradeep Mukherjee
Ph.D. Student in Earth and Planetary Sciences, admitted Autumn 2023
BioSouradeep is an Exploration Geologist-turned-AI Researcher developing decision-making algorithms to discover high-grade mineral deposits. With almost a decade of experience in on-field exploration of critical & strategic mineral deposits, he is now using his computer to unlock the full potential of mineral discovery.
Souradeep is currently a Doctoral Researcher at Stanford Mineral-X. His current work focuses on fusing multi-element soil geochemistry with 3D geological inference to build predictive models for subsurface intrusion-hosted Ni-Cu sulfide mineralization in the Curaçá Valley, Brazil. By leveraging machine learning, geostatistics, and compositional data analysis, he aims to reduce geological uncertainty and operational costs in mineral targeting, transforming how exploration is conducted in under-explored terrains.
Prior to Stanford, Souradeep held several technical and supervisory roles at the Atomic Minerals Directorate for Exploration and Research (AMD), Government of India, where he spearheaded multiple national-scale mineral exploration campaigns. He led the exploration and evaluation of uranium-bearing sediments in the Bhima Basin, the mapping of lithium-rich pegmatites in Karnataka, and the delineation of heavy mineral sand deposits across the east coast of India. His work included advanced geological mapping, structural interpretation, kinematic analysis, downhole geophysics, petrological microscopy, and geostatistical modeling—skills that now enrich his algorithmic thinking in research.
His research interests span compositional data analysis, geospatial modeling, machine learning for Earth systems, building intelligent decision making agents for mineral exploration and mineral prospectivity analysis. He is particularly passionate about bridging the gap between traditional geosciences and computational intelligence to power the next generation of resource discovery tools.
When he’s not deep into code or core samples, Souradeep contributes to scientific outreach, mentors young geoscientists, and advocates for data transparency and sustainability in the mining sector. He is also a writer, a poet and loves to write pieces on existential philosophy.
