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Hire Michal L.

Czech Republic

USD 50 /hr

PhD Candidate | Specialist in Bayes, Statistics, Machine Learning and Probabilistic Modeling | R, R Shiny, Python, Stan

Profile Summary

Are you making high‑stakes decisions based on noisy data or black-box predictions? I help organizations move beyond simple correlations to identify true drivers and quantify uncertainty, so that strategic decisions in marketing, product, and operations become scientifically robust rather than speculative. As a PhD researcher in Prague specializing in Bayesian statistics and machine learning, I bridge academic‑grade rigor with commercial ROI for data‑driven teams. I specialize in models where transparency and reliability are non-negotiable. I build both standard machine learning solutions (like ensemble models for high-volume prediction) and Bayesian approaches (like hierarchical models, latent variables, or mixtures) for complex inference, so you always get the right tool: full risk/confidence distributions when uncertainty matters, or fast point estimates when scaling is key. Whether optimizing for prediction or inference, I ensure your architecture is auditable, decision-ready, and aligned with your KPIs and requirements. Strategic Toolkit & Specialties: - Specialties: Bayesian Hierarchical Modeling, Causal Inference (DAGs), State-Space Models, Probabilistic Programming, Latent Data Analysis, Ensemble Learning. - Languages & Tools: Stan, R Shiny, Python (PyMC/Dash), Quarto, SQL, Docker

Subject Matter Expertise

• ★ Applied Statistics
• ★ Bayesian Statistics
• ★ Python
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Statistical Computing
• ☆ LaTex
• ☆ R

Services

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Work Experience

Lecturer

University of Economics Prague

September 2025 - Present

Data Scientist

Publicis Groupe

April 2025 - Present

Data Science Tutor

Coders Lab

February 2024 - Present

R Shiny Developer

Ministry of Education

August 2023 - December 2025

Machine Learning Engineer

Rohlik Skillz

May 2024 - September 2024

Data Scientist

IBM

May 2023 - July 2023

Clinical Data Manager

ReMuS | The Czech Republic Multiple Sclerosis Patient Registry

March 2022 - December 2022

Education

Bayesian Statistics / Doctorate (Department of Informatics and Statistics)

Prague University of Economics and Business

September 2025 - Present

Statistics / Masters (Department of Informatics and Statistics)

Prague University of Economics and Business

September 2022 - June 2025

Data Analytics / Bachelor (Department of Informatics and Statistics)

Prague University of Economics and Business

September 2021 - January 2025

Applied Informatics / Bachelor (Department of Informatics and Statistics)

Prague University of Economics and Business

September 2019 - June 2022

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Michal Lauer, Pavel Hradilek, Olga Zapletalova, Petra Hanulikova, Eva Kubala Havrdova, Ivana Woznicova, Aneta Mazouchova, Jiri Drahota, Ivana Stetkarova, Martin Valis, et al. (2023). Is breastfeeding in MS harmful or not? An answer from real-world Czech data . Multiple Sclerosis and Related Disorders.

Michal Lauer, Dominika Stastna, Jiri Drahota, Aneta Mazouchova, Ingrid Menkyova, Jana Adamkova, Radek Ampapa, Michal Dufek, Marketa Grunermelova, Pavel Hradilek, et al.(2023). The Czech National MS Registry (ReMuS): Data trends in multiple sclerosis patients whose first disease-modifying therapies were initiated from 2013 to 2021 . Biomedical Papers. Palacky University Olomouc