Julia Gonski is a post-doctoral physicist at Columbia University, and a recent Ph.D. graduate and from the Harvard ATLAS group. Her research applies novel machine learning techniques to find interesting events in the terabytes of data produced by the Large Hadron Collider. Her work led to the first neural net-based tool to find evidence of high momentum Higgs particles that decay in a common way via data produced by the ATLAS detector.

Learn more about her work on Twitter @JuliaGonski and check out her Forbes 30 Under 30 feature.

Changing World by Ben Beiny www.premiumbeat.com