Summary
Regina Mir is an interdisciplinary AI consultant, strategist, and solutions architect with 11 years of experience blending astrophysics, quantitative finance, and creative design to build data-driven products and experiences. Trained in physics (Barnard), statistics and finance (Columbia), and design & technology (Parsons), she has worked at NASA, NRAO, Wall Street firms, and the MIT Media Lab, then co-founded DATA X to explore the intersection of data, society, and education. She now runs reginaflores.ai, helping founders and enterprises translate AI into actionable workflows, dashboards, and full-stack systems while teaching creative coding at Parsons. Regina’s work uniquely fuses scientific rigor—having analyzed nano-jansky radio sources and the CMB—with a practitioner’s flair for data visualization and public-facing data art, often interrogating transparency and consumer protection. Her career shows a rare through-line from instrument hardware and peer-reviewed research to algorithmic trading and experiential data art, making her adept at turning complex data into compelling, usable narratives.
11 years of coding experience
8 years of employment as a software developer
MFA, Design and Technology, MFA, Design and Technology at Parsons School of Design - The New School
M.A, Statistics & Finance, M.A, Statistics & Finance at Columbia University
B.A, Physics, Astrophysics concentration, B.A, Physics, Astrophysics concentration at Barnard College
Spanish, French