Some professional work appears under my work GitHub account: @kvk-cmd
Machine Learning Engineer with a PhD in Machine Learning and Causal Inference. I work on ML systems, clinical NLP, and causal inference using longitudinal electronic health records.
🏥 At Aiomic (Copenhagen), I work on ML pipelines that combine transformers and classical ML for clinical data
🔁 Data preparation, model training and validation, Docker-based services, and CI/CD
🧠 Transformers and NLP on clinical data, including pre-training on structured longitudinal EHR and fine-tuning for predictive tasks
🎓 PhD in Machine Learning and Causal Inference, University of Copenhagen. Dissertation:
Scalable Causal Inference on Electronic Health Records Using Transformers
🌍 Contributor to MEDS, the community standard and ecosystem for ML on structured medical data
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BONSAI Current collaborative codebase for transformer-based modeling of Electronic Health Records 
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CORE-BEHRT (paper) A Carefully Optimized and Rigorously Evaluated BEHRT. PMLR vol. 252, 2024 (joint first authorship) 
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PHAIR-EHR Research extension of CORE-BEHRT for causal analyses on EHR data 
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CORE-BEHRT (original) Original CORE-BEHRT implementation. Contributor. 
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MEDS — An Emerging Data Standard and Ecosystem for Health AI Research NEJM AI, 2026, co-author. Community standard for ML on structured medical data (website · GitHub org) 
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