Melissa Wolf, PhD, currently serves as a Statistical Programmer at Delfi Diagnostics. Previously, Melissa was a User Experience Researcher at Microsoft, where insights were derived from quantitative and qualitative data, guiding product improvements through various research projects. At Arizona State University, Melissa worked as a Statistical Programming Consultant, developing a Shiny App and R package, and managing data visualization and analytics tasks. As a PhD candidate at the University of California, Santa Barbara, Melissa transitioned lab materials to R and taught multiple courses in statistics and data science, contributing to significant research grants. Additional experience includes roles as a Data Consultant for New Tech Network and as a Research Analyst for the International Baccalaureate, focusing on automation and analysis of quantitative data. Educational qualifications include a PhD in Quantitative Methods for the Social Sciences, a Master's Degree in Research Methods and Statistics, a Graduate Certificate in Measurement, Statistics, and Evaluation, and a BA in Communications, Psychology, and Anthropology.
Sign up to view 0 direct reports
Get started