Christoph Bergmeir
María Zambrano (Senior) Fellow at Monash University
Granada, Andalusia, Spain
Summary
🤩
Rockstar🎓
Top SchoolChristoph Bergmeir is an Associate Professor and María Zambrano Senior Fellow with 13 years of experience specializing in time series forecasting, machine learning and applied data science. He combines an academic career across Universidad de Granada and Monash University with industry-facing research stints (including Meta) and an ARC fellowship focused on efficient, real-world forecasting. Christoph is a practical open-source contributor to prominent forecasting toolkits—enhancing robjhyndman/forecast with bootstrapping, baggedETS and cross-validation features—bridging rigorous research with production-ready methods. Fluent in both European and Australian research ecosystems, he brings rare depth in predictor evaluation, meta-learning and forecast combination grounded in PhD-level work and collaborative international visits.
13 years of coding experience
12 years of employment as a software developer
Dipl.-Inf. (equivalent to M.Sc.), Computer Science, Dipl.-Inf. (equivalent to M.Sc.), Computer Science at Universität UlmExchange Student, Computer Science, Exchange Student, Computer Science at Universidad de AlcaláMaster in Soft Computing and Intelligent Systems, Master in Soft Computing and Intelligent Systems at Universidad de GranadaDiplomarbeit / Master's Thesis, Diplomarbeit / Master's Thesis at DKFZ German Cancer Research Center
Spanish, German, English, Russian
Stackoverflow
111reputation
5kreached
7answers
0questions
Github Skills (15)
forecasting10
time-series10
forecast10
statistical-models10
r10
data-analysis10
cross-validation9
machine-learning8
neural-network6
modeling6
regression6
prediction6
radial6
raster6
classification6
Programming languages (2)
Github contributions (5)
robjhyndman/forecast
Apr 2016 - Nov 2017
Forecasting Functions for Time Series and Linear Models
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 4 PRs, 1 push in 1 year 7 months
Contributions summary:Christoph primarily focused on enhancing time series forecasting capabilities within the repository. Their contributions included implementing a new bootstrapping method (MBB), refactoring and expanding the `baggedETS` function, and introducing a cross-validation framework. The user also modified the `ets` function and related forecasting functions to integrate these new features and functionalities, demonstrating a focus on improving model performance and robustness. The user's work is centered around creating a more comprehensive forecasting solution.
forecastingr-packagetidymodelscranrstats
cbergmeir/forecast
Apr 2016 - Jul 2018
Contributions:19 pushes, 4 branches in 2 years 3 months
r-packagerstatsforecast
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