Summary
Jana Jarecki is a Technical Manager and behavioral data scientist with 11+ years applying statistical learning and ML to complex, high-dimensional longitudinal and multimodal data in academia and pharma. She specializes in probabilistic modeling, causal inference, and time-series approaches to forecast individual behavior from sensors, EHRs, digital traces and choice tasks, turning theory-driven models into interpretable, actionable RWE for regulatory and product decisions. A PhD-trained cognitive modeler, Jana has led interdisciplinary agile teams, published extensively, and built production-ready R tooling (including an extendable cognitive modeling toolbox and semi-automated reporting software) used across research projects. Her work uniquely blends rigorous Bayesian and frequentist methods with practical data engineering, FAIR documentation, and UX-informed study design, enabling early detection and adaptive systems in digital health. She values clear structure, reproducible code, and visual communication, and brings hands-on expertise in R, Python, C++, Git, and Shiny to bridge research and industry impact.
11 years of coding experience
PhD, Cognitive Science / Cognitive Modeling, PhD, Cognitive Science / Cognitive Modeling at Max Planck Institute for Human Development
Bachelor's degree, Economics, Bachelor's degree, Economics at Ludwig-Maximilians-Universität München