Eric is an applied statistician and entrepreneur with many years of experience building and explaining statistical models in healthcare, retail, and financial services. He is a mentor in Columbia University's Statistics Department and an Adjunct Faculty of Statistics at NYU.

Jacqueline has been working in biostatistics and bioinformatics for over 15 years, starting in cardiology research at the TIMI Study Group at Harvard Medical School before working in Alzheimer's Disease genetics at Boston University. She was the Lead Biostatistician at the Institute for Next Generation Health Care at Mount Sinai.

Daniel is a computational Bayesian statistician and software engineer. He is one of the early contributors to the Stan project and is an active member of the Stan development team. Daniel was a developer of Stan's ODE subsystem and built PKPD models including one for an FDA-approved drug.

Juho is a doctoral candidate in the Computational Systems Biology group at Aalto University in Finland. His research interests include probabilistic and deep generative models, Gaussian Processes with both categorical and continuous input variables, reliable and efficient usage of numerical solvers in probabilistic models, dynamic modeling of single-cell RNA-seq data, and molecular network inference.

Nikolas did his PhD in Mathematics at RWTH Aachen University, Germany, in the context of partial differential equation models for non-equilibrium thermodynamics before transitioning to Bayesian statistics as a postdoctoral researcher in the Probabilistic Machine Learning group at Aalto University, Finland. His research interests include efficient and safe iterative Bayesian Workflow for non-parametric and differential equation models.

Jasmine brings years of experience leading high-performing teams and overseeing day-to-day operations in fast-paced, high-growth environments. Her expertise includes team development, process improvement, and systems optimization. In previous roles, she focused on building efficient internal workflows, enhancing cross-functional collaboration, and supporting organizations as they scaled their operational infrastructure.