Jasmin Dial, MSCAPP
Data Scientist
MS - Computational Analysis & Public Policy, University of Chicago Harris School of Public Policy
Jasmin Dial is Learning Collider’s go-to data scientist for all things Housing. Working closely with one of the lab’s most robust partnerships, Jasmin’s data wrangling paired with policy perspective serves multiple projects, research questions, and stakeholders (including policy advisors at the White House and HUD).
Jasmin’s background in research and data includes working for the largest school system in the U.S., NYC Department of Education, and a national financial services nonprofit, Mission Asset Fund. Her knack for asking pointed questions - needling for clarity and usefulness - leads to better research scope and more refined analyses. Relatedly, that questioning supports another superpower: building code that is efficient, replicable, and responsive.
The Learning Collider team adds that Jasmin’s superpowers aren’t confined to data and code. She creates beautiful pastries (taunting teammates with photographs) from her home in LA, shared with her partner. When she’s not traveling or heading to a concert, she’s exploring her LA neighborhood or hanging with her siamese cat.