Jeffrey Heer is the Jerre D. Noe Endowed Professor of Computer Science & Engineering at the University of Washington, where he directs the Interactive Data Lab and conducts research on data visualization, human-computer interaction and social computing. The visualization tools developed by Jeff and his collaborators – Vega(-Lite), D3.js, Protovis, Prefuse – are used by researchers, companies, and data enthusiasts around the world.
Jeff's research papers have received awards at the premier venues in Human-Computer Interaction and Visualization (ACM CHI, UIST, CSCW, IEEE InfoVis, IEEE VAST, EuroVis). Honors include MIT Technology Review's TR35 (2009), a Sloan Fellowship (2012), the ACM Grace Murray Hopper Award (2016), the IEEE Visualization Technical Achievement Award (2017), and induction into the inaugural class of the IEEE Visualization Academy (2019).
Jeff holds B.S., M.S., and Ph.D. degrees in Computer Science from UC Berkeley, whom he then "betrayed" to join the Stanford CS faculty (2009–2013). He is also a co-founder of Trifacta, a provider of interactive tools for scalable data transformation.