Martina Balestra
Staff Applied Scientist Tech Lead Manager at Uber
New York City Metropolitan Area United States
Summary
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Senior🎓
Top SchoolMartina Balestra is a Staff Applied Scientist based in the New York City area with a decade of experience at the intersection of machine learning, pricing strategy, and complex systems. After earning a PhD in Information Systems from NYU and a postdoc there, she transitioned academic rigor into industry impact at HP and Uber, where she now focuses on ML-driven airport and travel pricing. She blends deep research pedigree—including teaching and summer work at the Santa Fe Institute—with hands-on product deployment, optimizing revenue-sensitive systems at scale. Known for bridging human-centered methods from HCI with quantitative modeling, she brings uncommon fluency in both experimental design and production ML.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Information Systems, Doctor of Philosophy (PhD) Information Systems at New York UniversityBachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at Franklin W. Olin College of EngineeringMaster of Science (M.Sc.) Human Factors & Information Science, Master of Science (M.Sc.) Human Factors & Information Science at Cornell UniversityGraduate Certificate Human Computer Interaction, Graduate Certificate Human Computer Interaction at Tufts University
English, ItalianProgramming languages (1)
Github contributions (5)
mbalestra/DecisionPrediction
Jan 2020 - Sep 2020
Contributions:50 commits, 32 pushes, 11 branches in 8 months
mbalestra/FairResourceAllocation
Oct 2019 - Jun 2020
Contributions:30 pushes, 1 branch in 7 months
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