Kiril Klein kirilklein

Kiril Klein

Machine Learning Engineer · Causal Inference & Clinical NLP · PhD

I build ML systems for clinical data: transformers pre-trained on longitudinal electronic health records, clinical NLP pipelines, and causal-inference methods for estimating treatment effects from observational data. PhD in Machine Learning and Causal Inference, University of Copenhagen.

Work

Aiomic (Copenhagen) — building the product ML stack from scratch: transformers combined with classical NLP/ML in a single pipeline, from data preparation and training through validation to Docker-based services and CI/CD.

PhD, University of Copenhagen — Scalable Causal Inference on Electronic Health Records Using Transformers. Pre-training transformers on structured longitudinal EHR and using them for outcome prediction and treatment-effect estimation.

Currently — maintaining CausalEstimate and contributing treatment-effect fixes to statsmodels.

Open source

CausalEstimate _{Author. Pandas-native library for treatment-effect estimation: TMLE, AIPW, IPW, matching, bootstrap inference. Bring your own propensity and outcome models.}	statsmodels _{Contributor. Bug fixes to TreatmentEffect: consistent propensity-score clipping (#10223) and corrected GMM moment conditions for AIPW-WLS / IPW-RA (#10221).}
BONSAI _{Core contributor. Collaborative codebase for transformer-based modeling of EHR; successor to CORE-BEHRT.}	PHAIR-EHR _{Author. Research extension of CORE-BEHRT for causal analyses on EHR data; codebase behind the PhD thesis.}