Computer Vision Research Engineer @SYSNAV with a strong background in Data Science and Statistics.

Some Projects 🛠️

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

Education 📚

• MSc. in Statistics and Economics at ENSAE Paris - IP Paris (FRA)

  • Focus on Statistics, Machine Learning, and Deep Learning.

• 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.

• Erasmus+ Programme at Karlsruher Institut für Technologie: KIT (DE)

  • MSc. courses in Machine Learning, Knowledge Discovery, Applied Econometrics, Risk Management, and Financial Accounting.