Ph.D student in Applied Mathematics, LJLL – Sorbonne Université
Co-supervised by Jean-Frédéric Gerbeau (Inria), Damiano Lombardi (Inria) and Sylvain Bernasconi (Notocord part of Instem).
- Thesis project: Mathematical modeling and learning of biomedical signals for safety pharmacology.
Publications:
Recent pre-publications:
- LOMBARDI, Damiano et RAPHEL, Fabien. A greedy dimension reduction method for classification problems. 2019.
Articles:
- LOMBARDI, Damiano et RAPHEL, Fabien. A method to enrich experimental datasets by means of numerical simulations in view of classification tasks. ESAIM:M2AN, vol. 55, no 5, September-October 2021.
- RAPHEL, Fabien, DE KORTE, Tessa, LOMBARDI, Damiano, et al. A greedy classifier optimization strategy to assess ion channel blocking activity and pro-arrhythmia in hiPSC-cardiomyocytes. PLoS computational biology, 2020, vol. 16, no 9, p. e1008203.
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SAMPEDRO-PUENTE, David Adolfo, RAPHEL, Fabien, FERNANDEZ-BES, Jesus, et al. Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and under β-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension Reduction. IEEE journal of biomedical and health informatics, 2020.
- TIXIER, Eliott, RAPHEL, Fabien, LOMBARDI, Damiano, et al. Composite biomarkers derived from Micro-Electrode Array measurements and computer simulations improve the classification of drug-induced channel block. Frontiers in physiology, 2018, vol. 8, p. 1096.
- RAPHEL, Fabien, BOULAKIA, Muriel, ZEMZEMI, Nejib, et al. Identification of ion currents components generating field potential recorded in MEA from hiPSC-CM. IEEE Transactions on Biomedical Engineering, 2017, vol. 65, no 6, p. 1311-1319.
Contact:
- Address: Inria de Paris, 2 rue Simone Iff, 75012 Paris, FRANCE
- Office: A316 (building A)
- E-mail: fabien.raphel@inria.fr
