Stanford Doerr School of Sustainability


Showing 1-10 of 93 Results

  • Mareldi Ahumada Paras

    Mareldi Ahumada Paras

    Postdoctoral Scholar, Energy Resources Engineering

    BioPostdoctoral scholar working with the Climate and Energy Policy Program at the intersection of climate policy, energy resilience and decarbonization. My graduate research focused on power system resilience and planning during extreme events. Previously, I worked at General Electric Company as an Edison and operability engineer on power turbine design and remote diagnostics of existing fleet.

  • Carlos Alvarez Zambrano

    Carlos Alvarez Zambrano

    Postdoctoral Scholar, Geological Sciences

    BioCarlos' research interests include granular matter transport, sand dunes, multiphase flows, and the transport of particles in the atmosphere. At Stanford, Carlos is investigating the formation of eolian bedforms on Mars and Earth.

  • Nur Arafeh Dalmau

    Nur Arafeh Dalmau

    Postdoctoral Scholar, Oceans

    BioI am currently a postdoc at UCLA and Stanford and an Honorary Fellow at The University of Queensland. I am a marine community ecologist and marine spatial planner. My research focuses on understanding the impacts of marine heatwaves on kelp forest ecosystems. I also research the role of marine protected areas and other effective area-based conservation measures for providing climate resilience and designing networks of climate-smart marine protected areas. I support conservation initiatives with NGOs, parks, and fishers, and teach decision tools such as Marxan. My heart remains in my beautiful Costa Brava, Spain (Catalonia), where I do my best to support conservation. I am a naive dreamer, and I know future generations will dive into healthy kelp forests and thriving marine ecosystems.

  • Adel Asadi

    Adel Asadi

    Postdoctoral Scholar, Earth and Planetary Sciences

    BioAdel Asadi is a Postdoctoral Scholar at Stanford University's Department of Earth and Planetary Sciences, in the Doerr School of Sustainability. He is an affiliate member of the Mineral-X Initiative, a program dedicated to pioneering sustainable critical minerals exploration to facilitate the transition to green energy. Under the supervision of Prof. Jef Caers, Adel's research is focused on mineral exploration, leveraging data science tools and artificial intelligence algorithms. Through the integrated geological data analysis, his goal is to enhance the predictive accuracy of models for discovering high-grade mineral deposits, thereby enabling decision-making with higher certainty.

    Before joining Stanford University, Adel was a Postdoctoral Scholar at Tufts University in Massachusetts. There, he conducted research in natural hazards and renewable energy domains. Under Prof. Laurie Baise’s supervision, he developed a novel ensemble machine learning method to assess earthquake-induced soil liquefaction hazards, notably for the 2023 Türkiye Earthquakes. Under Prof. Babak Moaveni’s supervision, in a project funded by the National Science Foundation (NSF), he exploited multiple-point geostatistics to simulate offshore wind speed and direction in a multi-variate context, using numerical weather models, remote sensing, observational, and geospatial data.

    Adel Asadi earned his PhD in Civil and Environmental Engineering with a Geosystems specialization from Tufts University. His doctoral work in the Geohazards Research Lab involved a diverse toolkit (computer vision, machine learning, remote sensing, and geographic information systems) to model earthquake-induced ground failure hazards (soil liquefaction) and map post-earthquake ground failure damages (landslides and liquefaction) on global, regional, and event-specific scales. His dissertation research was funded by the US Geological Survey (USGS) and the National Geospatial Intelligence Agency (NGIA).

    During his Master's study in Mining Engineering at Michigan Technological University, under Prof. Snehamoy Chatterjee’s supervision, he developed a novel multiple-point geostatistical simulation algorithm for Earth resources modeling and uncertainty quantification. He also worked on a space mining research project aimed at mapping iron and titanium on the lunar surface using remote sensing data and machine learning algorithms. Additionally, he gained one year of professional experience in the copper mining industry through three internships at Freeport-McMoRan Inc. in Arizona.

  • Areidy Aracely Beltran-Peña

    Areidy Aracely Beltran-Peña

    Postdoctoral Scholar, Earth System Science

    BioAreidy Beltran-Peña is an Earth System Scientist and a Stanford Doerr School of Sustainability Dean’s Postdoctoral Fellow. She leverages integrated assessment and Earth system models to investigate the global and regional impacts of climate change on water resources available for natural and human consumption. Overall, her research sheds light on the intricate dynamics impacting water and food security amid a changing climate, highlighting the importance of both global and regional analyses.