Mitchell L. Gordon
News:Spring 2021: Presenting the disagreement deconvolution at CHI 2021 Summer 2020: Excited and honored to be an Apple PhD Fellow in AI/ML Winter 2020: Named a finalist for the Facebook Fellowship Fall 2019: HYPE accepted to NeurIPS 2019 (oral, top 0.5%) Winter 2019: Paper accepted to WWW 2019 (oral, top 5%) Winter 2019: Two papers accepted to CHI 2019 Summer 2018: Research intern at Apple Summer 2017: Research intern at Google Fall 2016: Started CS PhD at Stanford Spring 2016: Won the CRA Outstanding Undergraduate Researcher Award
I'm a computer science PhD student at Stanford University in the HCI group, advised by Michael Bernstein and James Landay. I've interned at Google (2014, 2015, 2016, 2017), Apple (2018), and CMU (2014). I completed my B.S. in computer science at the University of Rochester in 2016, where I was advised by Philip Guo and Jeffrey Bigham.
I design social computing and crowdsourcing systems that help make machine learning human-centered.