Dylan Poulsen Consulting
Thoughtful statistical consulting for clear, defensible decisions
Thoughtful statistical consulting for clear, defensible decisions
My name is Dylan Poulsen. I am a data science and statistical consultant focused on Bayesian decision-making, causal inference, and reproducible analytics workflows for industry teams.
I am also the John W. Allender Associate Professor of Data Ethics and an Associate Professor of Mathematics at Washington College, where I direct the Data Science Innovation Lab. My academic work strengthens my consulting practice through ongoing research, teaching, and applied project supervision.
My work sits at the intersection of mathematics, data science, ethics, and communication. I focus on helping people use models and evidence without hiding assumptions or overstating certainty.
The Data Science Innovation Lab gives students real applied experience through MEIF-funded internships. Projects have included player and ball tracking systems for soccer analytics, data cleaning and visualization support for partner organizations, and structured dataset workflows for research teams.
I believe that practicing mathematics is a joyful exercise. The Insights section of this site is where I write about ideas I find interesting, from Fourier analysis to probability to the mathematics of cutting onions.
My approach to data science is guided by five principles:
Good data work should be inspectable, understandable, honest about its limitations, protective of people, and worth the human and material costs of doing.
The logo is a representation of my initials using mathematical ideas. The letters d and p are formed using lines and circles, central ideas in geometry. The r and s are formed from a sine wave, a central idea in differential equations. The s is the entirety of the sine wave, while the r is half the sine wave. The logo has rotational symmetry, expressing the importance of symmetry in abstract algebra.