Dasha Metropolitansky
Research Data Scientist
About
Dasha Metropolitansky is a Research Data Scientist in Microsoft Research Special Projects (opens in new tab). Her current research focuses on developing scalable methods for evaluating content generated by Large Language Models (LLMs) and exploring how LLMs should handle ambiguity.
Prior to Special Projects, Dasha was an Applied Scientist in the Microsoft AI Development Acceleration Program (opens in new tab) (MAIDAP), based in the New England Research and Development Center (NERD) in Cambridge, MA. In MAIDAP, Dasha worked with research and product teams across Microsoft on AI projects, including developing an LLM-powered question-answering service for Outlook and creating Guided Conversations, a framework for conversational agents that has been open-sourced through Microsoft’s Semantic Kernel (opens in new tab) and Semantic Workbench (opens in new tab).
Before joining Microsoft, Dasha studied Statistics and Computer Science at Harvard University. She was involved in a variety of projects including consulting the City of Boston on improving election turnout, conducting statistical analysis for a Harvard T.H. Chan School of Public Health study testing whether methods from behavioral economics can nudge students into making more sustainable dietary choices, working with Massachusetts General Hospital’s Health Policy Research Center to collect and analyze U.S. physicians’ locations, and building a tool that maps personally identifiable information to data breaches on the dark web, as reported by VICE (opens in new tab).