I am an industrial-organizational psychologist and computational social scientist.

I help improve performance using social science and computational methods.

Almost all of us work. My mission is to make work better.

I also teach and work with individuals, not-for-profits, and other organizations.

I am based in Washington, DC.

Want to collaborate?  Contact me using the social media links above.



“Imagine how difficult physics would be if electrons could think.”  —Murray Gell-Mann

Industrial-organizational psychology is the scientific study of work and the application of the scientific method to workplace issues facing individuals, teams, and organizations.  The Society for Industrial and Organizational Psychology (SIOP) is the leading professional association for I-O psychologists.  I have been active in SIOP since 2007 when I was studying I-O psychology at University of Maryland, Baltimore County.

Computational social science is the interdisciplinary science of complex social systems and their investigation through the use of computational modeling and other techniques.  I use agent-based modeling (ABM), social network analysis (SNA) and network science, and spatial modeling to study social phenomena.  I trained in the computational social science program in the Department of Computational and Data Sciences at George Mason University, where I worked with Professor Robert Axtell.

Previously, I worked in health policy / public health research at NORC at the University of Chicago and later worked at the Association of State and Territorial Health Officials providing technical assistance to state governments implementing quality improvement initiatives.