Summary
Kristen Altenburger is a Staff Research Scientist at Meta (Reality Labs) with a decade of experience applying machine learning and computational social science to product and research problems. With a PhD from Stanford and an MA in Statistics from Harvard, she bridges rigorous academic methods and large-scale industry practice, having contributed to both government labs and private sector teams including Sandia and Netflix. At Meta she leads ML efforts that inform XR research and product decisions, combining causal inference, behavioral modeling, and scalable experimentation. Her background in law-school research fellowships and cyber analytics gives her a distinctive interdisciplinary perspective on privacy, policy, and adversarial risk in deployed systems. Based in Palo Alto, she is known for turning complex social-science questions into actionable, production-ready models that shape user experiences.
10 years of coding experience
10 years of employment as a software developer
Master of Arts (M.A.) Statistics, Master of Arts (M.A.) Statistics at Harvard University
Bachelor of Science Mathematics, Bachelor of Science Mathematics at Ohio University
Doctor of Philosophy - PhD Social Sciences (Computational Social Science), Doctor of Philosophy - PhD Social Sciences (Computational Social Science) at Stanford University
German, Spanish