Summary
Alexander Fengler is a Principal Data Scientist with 11 years of experience applying Bayesian inference, statistical methods, and ML Ops to problems in finance, cognitive science, and marketing. Currently at PyMC Labs and a postdoctoral researcher at Brown University, he bridges rigorous academic research in cognitive science with practical ML deployments and teaching. His background spans a PhD in Cognitive Science, an MPhil in Statistics from Bocconi, and interdisciplinary training in neuroeconomics, enabling him to translate behavioral models into scalable probabilistic pipelines. Notably, he has repeatedly built end-to-end Bayesian analysis workflows for clients and research projects, blending research rigor with production-ready tooling. Based in Providence, RI, he combines deep domain knowledge with hands-on engineering to make complex uncertainty quantification accessible to decision-makers.
11 years of coding experience
3 years of employment as a software developer
MSc. Cognitive Psychology and Neuroscience (Neuroeconomics), MSc. Cognitive Psychology and Neuroscience (Neuroeconomics) at Maastricht University
PhD. Cognitive Science, PhD. Cognitive Science at Brown University
MPhil. Statistics, MPhil. Statistics at Università Bocconi