11/12/2026 updated
100 % available
Biostatistician | Clinical Trials & RWE | Data Scientist | PhD
Brescia, Italy
Only remote
PhD AI in Medicine; MSc Population Health and Wealth; BSc Biology (cum laude)About me
I work across biostatistics, machine learning and scientific writing, so your analysis and your write-up come from the same person.
Data AnalysisBioinformaticsBiologyBiostatisticsClinical Data ManagementEpidemiologyClinical TrialsData VisualizationR (Programming Language)Statistical Hypothesis TestingPython (Programming Language)Survival AnalysisMachine LearningMedical WritingStatistical Evaluations
I am a biostatistician and medical data scientist with a PhD in AI in Medicine from the University of Brescia. I work with clinical, biomedical, and population-health data, from planning the analysis to writing up the results.
My work includes statistical analysis plans, sample size and power calculations, survival analysis, predictive modeling, and model validation. I use Python and R to build reproducible analyses and data visualizations, with code and documentation that clients can keep and use.
I also carry out systematic and targeted literature reviews, evidence synthesis, and independent statistical reviews. Past projects include literature research for an FDA medical-device submission, health calculators based on NHANES and MEPS data, biomedical signal processing, and machine learning applied to MRI data.
I have a background in biology and population health, with peer-reviewed publications and international conference presentations. I work in English, Italian, and Russian. Project requirements and updates can be handled in writing.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishFluentFrenchGoodItalianNative speakerRussianNative speaker
Project history
Freelance work in biostatistics, biomedical data analysis, predictive modeling, literature research, and evidence synthesis. Projects include NHANES and MEPS population benchmarking tools, a QALY calculator, literature review and evidence tables for an FDA device submission, biotech catalyst research, and medical claims audits. Tools: Python, R, statistical modeling, and machine learning.
Research data analysis at Università degli Studi di Brescia. Skills: data analysis, statistical analysis, and scientific research.
At the University of Brescia, I worked on extracellular vesicles using centrifugation, Western blot, and atomic microscopy, and assisted professors and students in the laboratory. Skills: experimental research, laboratory techniques, extracellular vesicles.
Certificates
6.419x: Data Analysis and Statistical Modeling
Massachusetts Institute of Technology (MITx)2023
MITx 6.86x: Machine Learning with Python
Massachusetts Institute of Technology (MITx)2022
6.431x: Probability - Uncertainty and Data
Massachusetts Institute of Technology (MITx)2022