I am a first year Ph.D. student at Stanford University, rotating with Emma Brunskill. My research interests include machine learning and education. Recent advances in machine learning have enabled a new wave of intelligent systems. Computers can handle increasingly complex tasks. As a result, the nature of work is changing. People are performing more diverse and creative tasks. Yet many education systems have not adapted to this increasing diversity. Machine learning could be the key to adaptive education systems that keep up with the future of work. To this end, my research aims at creating intelligent systems that engage wider audiences.

Cody A. Coleman, Daniel T. Seaton, and Isaac Chuang
In Learning@Scale 2015
Yohsuke R. Miyamoto, Cody A. Coleman, Joseph Williams, Jacob Whitehill, Sergiy Nesterko, and Justin Reich
In Journal of Learning Analytics 2015
Dnaiel T. Seaton, Cody A. Coleman, Jon P. Daries, and Isaac Chuang
In EDUCAUSE Review 2015
Jacob Whitehill, Joseph Williams, Glenn Lopez, Cody A. Coleman, and Justin Reich
In Educational Data Mining (EDM) 2015