Summary
Amalia Kokkinaki is an environmental scientist and academic leader with 11 years of experience specializing in computational hydrogeology, data assimilation, and uncertainty analysis. As Graduate Program Director and Associate Professor at the University of San Francisco, she combines research on multiphase flow and pollutant remediation with a passion for teaching data-driven decision-making in STEM. Her work focuses on how subsurface heterogeneity and parameter uncertainty affect model predictions and on extracting actionable information from real-time monitoring through statistical assimilation. She has a strong track record from PhD and postdoctoral research at the University of Toronto and Stanford, translating advanced modeling into remediation strategies and field-scale characterization. Known for bridging theory and practice, she often integrates geostatistics, hydrogeophysical data, and optimization of water controls to inform management. Outside academia she brings a pragmatic, systems-oriented approach that helps students and practitioners turn complex environmental data into credible management actions.
11 years of coding experience
16 years of employment as a software developer
Ph.D, Civil Engineering, Ph.D, Civil Engineering at University of Toronto
Diploma, Environmental Engineering, Diploma, Environmental Engineering at Technical University of Crete / Πολυτεχνείο Κρήτης
English, German, Greek