UC Berkeley MIDS
Developing stronger quantitative and technical tools for work in responsible and public-interest technology.
About
I’m Sasha Schaps, a program and enablement leader becoming a data scientist. Across nearly eight years in technology, I’ve helped teams turn complicated products, policies, and operational changes into systems people can actually understand and use.
At Meta, that meant content strategy, education, and scaled enablement: developing programs for global audiences, restructuring performance measurement, managing agency work, and helping cross-functional teams navigate change. More recently, I’ve worked across AI-enabled support, community programs, and technical research.
I’m completing UC Berkeley’s Master of Information and Data Science, where my interests include responsible AI, public-interest technology, climate resilience, and the distributional effects of technical systems.
My perspective is also shaped outside the screen: teaching English in Shanghai, studying yoga in India, working with learners from infancy through adulthood, volunteering in community programs, boxing, and making pottery. Those experiences keep me attentive to context, power, and the difference between a system that technically works and one that works for real people.
Through line
Developing stronger quantitative and technical tools for work in responsible and public-interest technology.
Building self-service infrastructure, launch programs, research, and learning experiences across emerging technology teams.
Leading content strategy, enablement, education, operational change, and programs designed for global scale.
Teaching in Shanghai and building individualized learning experiences in language, swimming, and movement.
I care about
Clear language over insider language.
Evidence paired with lived experience.
Access designed in from the start.
Questions that make systems accountable.
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