Ashwin Narayan is a Principal data scientist and former MIT applied mathematics PhD candidate who applies statistical rigor and ML to political campaigns, currently building digital fundraising models for Democrats through his consultancy Blue Noise Labs. With a decade of experience spanning academic research, NLP and high-dimensional statistics, and hands-on engineering roles at organizations like MissionWired, BallotReady, and Facebook, he translates complex models into measurable campaign impact. He has led data teams and advanced ML research for progressive causes, bringing a rare combination of theoretical depth and product-focused delivery. Based in Washington, DC, he is equally comfortable optimizing fundraising pipelines as he is designing algorithms—his background includes applying clustering and combinatorial methods to practical problems beyond politics.
10 years of coding experience
6 years of employment as a software developer
Hightstown High School
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Massachusetts Institute of Technology
Bachelor of Arts (BA) Mathematics Physics, Bachelor of Arts (BA) Mathematics Physics at Williams College
Contributions:73 pushes, 10 branches in 1 year 1 month
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