プロフィール詳細

プロジェクトを作成

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Michal L.に依頼

Czech Republic

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

プロフィール概要

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

専門分野

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

サービス

• 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

職務経験

Lecturer

University of Economics Prague

9月 2025 - 現在

Data Scientist

Publicis Groupe

4月 2025 - 現在

Data Science Tutor

Coders Lab

2月 2024 - 現在

R Shiny Developer

Ministry of Education

8月 2023 - 12月 2025

Machine Learning Engineer

Rohlik Skillz

5月 2024 - 9月 2024

Data Scientist

IBM

5月 2023 - 7月 2023

Clinical Data Manager

ReMuS | The Czech Republic Multiple Sclerosis Patient Registry

3月 2022 - 12月 2022

学歴

Bayesian Statistics / Doctorate (Department of Informatics and Statistics)

Prague University of Economics and Business

9月 2025 - 現在

Statistics / Masters (Department of Informatics and Statistics)

Prague University of Economics and Business

9月 2022 - 6月 2025

Data Analytics / Bachelor (Department of Informatics and Statistics)

Prague University of Economics and Business

9月 2021 - 1月 2025

Applied Informatics / Bachelor (Department of Informatics and Statistics)

Prague University of Economics and Business

9月 2019 - 6月 2022

認定資格

• 認定資格の詳細は未入力です。

出版物

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