Molly Hickman is a forecaster and data scientist with eight years of experience applying anticipatory intelligence and uncertainty quantification to socio-political forecasting and real-world infrastructure problems. She blends systems thinking with tenacious, iterative process design—work that has ranged from crowdsourced prediction platforms to detecting electrical grid changes in Accra. Currently splitting time between product leadership at Metaculus and forecasting work at Gemmis, she connects technical rigor to user-facing prediction products. Molly holds a MS in Computer Science from Virginia Tech and a math background from UMBC, and she brings a rare combination of field-facing applied analytics and platform-level forecasting expertise.
8 years of coding experience
8 years of employment as a software developer
Mathematics, Mathematics at Montgomery College
Master's degree, Computer Science and Applications, Master's degree, Computer Science and Applications at Virginia Tech
Contributions:1 release, 4 reviews, 2 PRs in 5 months
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