Rate My Professor Maike Hohberg

Prof. Dr. Maike Hohberg serves as Assistant Professor on the tenure track and Head of the Working Group "Computational Statistics" at the Department of Medical Statistics, Universitätsmedizin Göttingen, part of Georg-August-Universität Göttingen. With a strong foundation in Business & Economics and statistics, she earned her B.Sc. in Business Administration and Economics from the University of Passau and Universidad Católica de Córdoba, Argentina (2006-2010), followed by an M.A. in International Economics jointly from the University of Göttingen and Delhi School of Economics, India (2010-2013). She completed her Ph.D. in Applied Statistics at the University of Göttingen in 2020, with a dissertation titled "Advances in Regression Beyond the Mean - with Applications to Poverty and Health." Hohberg also pursued medical studies at the University of Göttingen from 2017 to 2023, culminating in her licence to practice medicine after a practical year in 2022-2023.

Her career spans economics, statistics, and medical research. Early roles included consultant positions at the World Bank's Research Unit for Financial and Private Sector Development (2014-2015) and as a Carlo Schmid Fellow in the Environment Unit for Latin America and the Caribbean (2013-2014). She conducted doctoral research at the Institute for Sustainable Resources, University College London (2014-2015), and served as a doctoral and postdoctoral researcher at the Chair of Statistics, University of Göttingen (2015-2022). Post-Ph.D., she held a postdoctoral position at the Heidelberg Institute of Global Health, University of Heidelberg (2020-2022), with visiting stints at the Department of Statistical Science, University College London (2018), and the Division of Primary Care and Population Health, Stanford University (2022). She joined Universitätsmedizin Göttingen as a postdoctoral researcher in 2022, advancing to her current Assistant Professor role in October 2023, interrupted briefly by maternal leave from January to October 2024.

Hohberg's research focuses on computational statistics, regression methods beyond the mean, poverty analysis, and health applications using distributional regression. Notable publications include "The impact of minimum wages on informal and formal labor market outcomes: evidence from Indonesia" (IZA Journal of Labor & Development, 2015), "Treatment effects beyond the mean using distributional regression: Methods and guidance" (PLoS ONE, 2020), "Vulnerability to poverty revisited: Flexible modeling and better predictive performance" (Journal of Economic Inequality, 2018), "Flexible instrumental variable distributional regression" (Journal of the Royal Statistical Society Series A, 2020), "Beyond Unidimensional Poverty Analysis Using Distributional Copula Models for Mixed Ordered-Continuous Outcomes" (Journal of the Royal Statistical Society Series C, 2021), and "A Flexible Adaptive Lasso Cox Frailty Model Based on the Full Likelihood" (Biometrical Journal, 2024). Recent work addresses vaccine roles in SARS-CoV-2 displacement and postoperative delirium prediction.