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alkat19/README.md

Hi, I'm Alex 👋

Postdoctoral Researcher · Health Data Science & AI · University of Copenhagen

Website Google Scholar ORCID LinkedIn X

I build predictive models for adverse outcomes in vulnerable populations. I get excited about combining data from different sources — questionnaires, nationwide registries, EHRs — and finding signal in the noise.

Currently exploring how far I can push agentic AI in my research workflows.

Interests · Clinical Prediction Models · Causal Inference · Prediction under Intervention · Personalized Psychiatry · NLP · Agentic AI

Tools · R · Python · Claude Code

Featured · Interdisciplinary Index Analyzer — measures cross-domain impact of academic research through citation patterns and semantic similarity.

Soft spot for logistic regression, restricted cubic splines, and yes — XGBoost.

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  1. MLGlobalHealth/Early_Warning_Scores MLGlobalHealth/Early_Warning_Scores Public

    Development & validation of clinical early warning models using multi-centred data.

    R 3 1

  2. ED_Pred ED_Pred Public

    Prediction of eating disorders in 40,000+ adolescents using register-based and self-reported data

    R

  3. Falls-Mortality-Expenditures Falls-Mortality-Expenditures Public

    Code for the development and internal validation of a model predicting mortality risk after a fall in older adults

    1

  4. Spousal-Bereavement-ML-Mortality Spousal-Bereavement-ML-Mortality Public

    Analysis of temporal patterns of healthcare expenditures for mortality prognosis

    R 1

  5. interdisciplinary-index-analyzer interdisciplinary-index-analyzer Public

    Measure the cross-domain impact of academic research by analyzing citation patterns and semantic similarity using OpenAlex API and ML embeddings

    Python 1