Negar Saberian, PhD

Negar Saberian, PhD, is currently the Director of Science and Head of Central Market Management at Lyft. With over a decade of experience in advanced analytics, she specializes in operations research and machine learning.1

Professional Background

• Education: Negar earned her PhD from the University of Washington, where she developed a strong foundation in mathematical modeling and data analysis.
• Career at Lyft: She has held various positions at Lyft, contributing significantly to the company's data science initiatives. Her role involves leading teams focused on causal inference and algorithm development to enhance operational efficiencies and market strategies.23

Key Skills and Expertise

• Advanced Analytics: Extensive experience in applying statistical methods to solve complex business problems.
• Operations Research: Proficient in optimizing processes and systems within dynamic environments.
• Machine Learning: Skilled in developing predictive models that drive decision-making processes.

Personal Insights

Negar has expressed a lifelong passion for mathematics, which has guided her career path from her early education in Iran to her current leadership role at Lyft. Her journey reflects a commitment to leveraging data science for impactful business solutions.3

In summary, Negar Saberian combines her academic background with practical experience to lead innovative projects at Lyft, making significant contributions to the field of data science and analytics.