Computer Vision Research Engineer @SYSNAV with a strong background in Data Science and Statistics.
Analyzing Health Trajectories and Survival Outcomes in HF Patients Repo
- "A Novel Methodological Framework for Analyzing Health Trajectories and Survival Outcomes in Heart Failure Patients".
- Accepted Paper at ICLR 2024 Learning from Time Series for Health Workshop
Topical State Space LSTM for NLP Repo
- Implementation of the Topical State Space LSTM model for text sequence analysis, as described in "State Space LSTM Models with Particle MCMC Inference" by Xun Zheng et al., 2017
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MSc. in Statistics and Economics at ENSAE Paris - IP Paris (FRA)
- Focus on Statistics, Machine Learning, and Deep Learning.
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MSc. in Engineering at Mines de Saint-Etienne (FRA)
- Achieved the title of "Ingénieur Civil des Mines" (general engineering degree) with expertise in Data Science, Big Data, and Numerical Analysis.
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Erasmus+ Programme at Karlsruher Institut für Technologie: KIT (DE)
- MSc. courses in Machine Learning, Knowledge Discovery, Applied Econometrics, Risk Management, and Financial Accounting.