Evidence of Antagonistic Predictive Effects of miRNAs in Breast Cancer Cohorts through Data-Driven Networks
Data-driven network analysis showing opposing predictive roles for miRNAs across breast cancer cohorts.
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Professional Summary
Postdoctoral researcher focusing on parametric and semi-parametric interval estimation in finite-sample and high-dimensional regimes, with applications to inertial sensors and biomedical data.
Education
PhD in Statistics
2013-09-01 - 2019-06-30
University of Geneva
MS in Statistics
2011-09-01 - 2013-06-30
University of Geneva
BS in Management
2008-09-01 - 2011-06-30
University of Geneva
Interests
Finite-sample and high-dimensional inference
Parametric and semi-parametric interval estimation
Sensor fusion and signal processing
Biomedical applications
📚 My Research
I develop interval-estimation methods that remain reliable in finite samples and high-dimensional settings. Recent work covers wavelet-based sensor calibration, predictive genomics, and inference for index functionals. I enjoy interdisciplinary collaborations and open, reproducible research.
Featured Publications
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Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration
Wavelet-based moment matching to improve inertial sensor calibration through richer moment conditions.
Recent Publications
(2024).
An Accurate Percentile Method for Parametric Inference Based on Asymptotically Biased Estimators.
arXiv.
(2023).
Capturing Trends Using OpenAlex and Wikipedia Page Views as Science Indicators: The Case of Data Protection and Encryption Technologies.
STI 2023.
(2022).
Evidence of Antagonistic Predictive Effects of miRNAs in Breast Cancer Cohorts through Data-Driven Networks.
Sci. Rep..
(2020).
SWAG: A Wrapper Method for Sparse Learning.
arXiv.
(2020).
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration.
IEEE TIM.
Teaching
Data and Code Management: From Collection to Application
Master-level course on reproducible data workflows, documentation, and delivery in business analytics projects.
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Introduction à la Statistique
Large-cohort introduction to statistical reasoning and inference for International Relations students.
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Four First Weeks in Excel (Statistique et Méthodologie Pharmaceutique)
Intensive Excel bootcamp for pharmaceutical sciences students to prepare for statistics and methodology modules.
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1 min read
Business Intelligence and Analytics
Core undergraduate course on data-driven decision making, dashboards, and predictive modelling for management students.
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