Ziad Yassine
PhD Candidate at UC Berkeley (Graduating May 2025)
Background in applied data science, machine learning, and geospatial modeling, with a focus on applications in urban mobility. Interested in optimizing systems and enhancing user experiences by leveraging advanced analytics and AI across various domains.
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Areas of Expertise
Data Science and Analytics
Extracting actionable insights from complex datasets through statistical modeling and advanced visualizations to support decision-making.
Applied Machine Learning
Developing machine learning solutions to provide predictive insights that improve efficiency and enhance customer experiences.
Geospatial and Behavioral Modeling
Integrating spatial data and user behavior to optimize operations and inform infrastructure investments for on-demand mobility systems.
AI for Sustainable Solutions
Leveraging artificial intelligence to create eco-friendly solutions that improve energy efficiency and advance sustainable strategies.
Recent Conferences
