I hold a PhD in Physics and have a diverse professional background that includes system analysis for a FFRDC and a stint as CEO at a nutritional company. Currently, I provide consulting services to help companies and organizations leverage data to make intelligent, causally motivated decisions grounded in sound scientific principles.

My passion lies in using scientific models to gain deeper insights into complex problems, which necessarily requires employing statistical methods, and my preference is for Bayesian approaches.

My Bayesian toolkit includes Stan and PyMC, and although I use PyMC more, I have a goal to master Stan to take advantage of its power and stability.