Stanford Doerr School of Sustainability
Showing 221-240 of 394 Results
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Peter Mastnak
Ph.D. Student in Oceans, admitted Autumn 2024
BioPeter is a PhD student in the Oceans department, leveraging his interdisciplinary expertise to develop advanced computational models that predict the movement patterns of large marine predators in response to environmental change. With a Master's degree in Computer Science from KTH Royal Institute of Technology in Stockholm, Peter's research bridges computational science with oceanography, applying advanced mathematical modeling techniques to ecological data while incorporating international policy and economic considerations—a truly interdisciplinary approach to addressing complex marine conservation challenges.
His work focuses on synthesizing diverse environmental variables and large-scale climate phenomena to forecast shifts in marine species distribution, ultimately informing evidence-based policy for ocean protection and sustainable fisheries management. Peter is pioneering innovative technological solutions—from advanced sensor networks to sophisticated predictive software—designed to address global oceanic ecosystem threats. Through this synthesis of computational rigor and conservation science, he strives to transform how we understand, monitor, and protect our ocean ecosystems for future generations. -
Audrey McManemin
Ph.D. Student in Energy Science and Engineering, admitted Spring 2025
BioAudrey is pursuing a master's degree in Energy Science & Engineering and is expecting to graduate in Spring 2025. She holds a B.S.E in Mechanical Engineering from Duke University and has previously worked in data engineering. Her research at Stanford focuses on evaluating methane detection and quantification technologies currently used in both commercial and academic applications.
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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.
