Martin Walter
Chief Architect Convalentis
Stromberg, Rhineland-Palatinate, Germany
Summary
🤩
Rockstar🎓
Top SchoolMartin Walter is a healthcare strategy and access architect with more than two decades of global experience designing pricing, market access, and organizational models that translate senior-level decisions into tangible patient access. As Chief Architect at Convalentis and former Global Market Access Head at Boehringer Ingelheim, he blends commercial leadership with policy fluency to prepare launches, pricing and contracting, and market-entry across diverse systems from the U.S. and Europe to Japan, China and emerging markets. Trained as a theoretical physicist and alumnus of Oxford’s senior executive program, he brings analytical rigor and structured decision frameworks to messy real-world problems. He also contributes technically as an AI/ML practitioner—adding forecasting models and imputation tools to well-known time-series toolkits like sktime and aeon—underscoring a rare mix of domain strategy and hands-on data science. Colleagues rely on him to align incentives, design resilient operating models, and drive disciplined execution that preserves sustainable patient access.
7 years of coding experience
2 years of employment as a software developer
Senior Executive Leadership Development Program, Senior Executive Leadership Development Program at Saïd Business School, University of OxfordDr. rer. nat. Theoretical physics, Dr. rer. nat. Theoretical physics at The University of Bonn
German, English, Italian
Github Skills (18)
python10
data-science10
model-driven10
scikit10
pandas10
machine-learning10
time-series10
forecasting10
model-building10
codec10
scikit-learn10
governance10
forecast10
modeling10
model-driven-development10
Programming languages (6)
Github contributions (5)
sktime/sktime
Dec 2020 - Jan 2023
A unified framework for machine learning with time series
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:535 reviews, 94 commits, 257 PRs in 2 years 1 month
Contributions summary:Martin contributed to the sktime repository by interfacing BATS and TBATS time series forecasting models, and adding a wrapper for the fbprophet forecasting model. Additionally, they implemented an imputer class for handling missing values and added the code to test and benchmark forecasters. These contributions demonstrate a focus on enhancing the repository's forecasting capabilities by integrating and expanding the suite of available models for time series analysis.
forecastingtime-series-analysistime-series-regressiondata-sciencedeep-learning
aeon-toolkit/aeon
Feb 2023 - Mar 2023
A toolkit for machine learning from time series
Role in this project:Back-end Developer
Back-end DeveloperContributions:35 reviews, 26 commits, 55 PRs in 1 month
Contributions summary:Martin primarily contributed to the governance aspects of the project, specifically modifying the Code of Conduct, Community Council, and core developer team pages. Their work involved removing discussion periods before voting, limiting term lengths for CC and CoC members, and updating the team roster. Furthermore, the user addressed bugs within the Imputer class and refactored the PCATransformer, indicating involvement in core library components.
data-miningdata-sciencemachine-learningscikit-learntime-series
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