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Hire Dr. Martin P.

France

USD 70 /hr

Senior Data Scientist | Passionate by Data Science in healthcare | Python | Machine Learning & Statistics

Profile Summary

As an experienced data scientist (8+ years), I love addressing business problems using data. Expert in using machine learning / AI, I acquired a strong knowledge in healthcare data, either hospital data, claim data, EHR, clinical trials, observational studies or epidemiological studies. I work since 2014 for a Contract Research organization on various topics (predictive medicine, adverse event prediction, target population for drugs and medical devices, finding clusters/profiles of patients, timed sequences of treatment, pathway modeling, ...) for both public institutions and the healthcare industry. My expertise includes mathematical modeling, machine learning algorithms, process mining, statistics, time series, optimization. I am a co-author of several publications in international peer-reviewed journals (x18) and of oral communications / posters in international conferences (x20).

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Statistics
• ☆ Health Data Analysis
• ☆ Public Health
• ☆ Epidemiology

Services

• Research
• Consulting
• Data & AI
• Product Development

Research Market Research, Feasibility Study

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Product Evaluation, Prototyping

Work Experience

Lead Data Scientist

HEVA

- Present

Data Science Team Manager

HEVA

February 2017 - Present

Senior Data Scientist

HEVA (SMB dedicated to analyze health data)

February 2017 - Present

Ph.D candidate

HEVA

February 2014 - February 2017

Organizational Consultant

ADOPALE

March 2013 - December 2013

Education

PhD in Computer Science

Mines Saint-Étienne (Top 15 Selective French School of Engineering)

February 2014 - February 2017

Master of Science | Operation Research and Industrial Engineering

Mines Saint-Étienne (Top 15 Selective French School of Engineering)

September 2012 - September 2013

Engineer Degree (with Honors)

Mines Saint-Étienne (Top 15 Selective French School of Engineering)

September 2008 - September 2013

Certifications

• Machine Learning Foundations: A Case Study Approach

  University of Washington

  January 2016 - December 2016

Publications

JOURNAL ARTICLE

Christos Chouaïd and Valentine Grumberg and Alexandre Batisse and Romain Corre and Matteo Giaj Levra and Anne-Fran{\c{c}}oise Gaudin and Martin Prodel and Joannie Lortet-Tieulent and Jean-Baptiste Assi{\'{e}} and Francois-Emery Cott{\'{e}}(2022). Machine Learning–Based Analysis of Treatment Sequences Typology in Advanced Non–Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab . JCO Clinical Cancer Informatics. (6). American Society of Clinical Oncology ({ASCO})

Martin Prodel and Laurent Finkielsztejn and Laëtitia Roustand and Gaëlle Nachbaur and Lucie de Leotoing and Marie Genreau and Fabrice Bonnet and Jade Ghosn(2022). Costs and Mortality Associated with HIV: A Machine Learning Analysis of the French National Health Insurance Database . Journal of Public Health Research. 11. (2). p. jphr.2021.2601. {SAGE} Publications

De Oliveira, H., Augusto, V., Jouaneton, B., Lamarsalle, L., Prodel, M., Xie, X.(2020). Optimal process mining of timed event logs . Information Sciences. 528. p. 58-78.

Bylicki, O., Rivière, F., Tournier, C., Canoui-Poitrine, F., Grassin, F., Margery, J., Prodel, M., Vainchtock, A., Assié, J.-B., Chouaïd, C.(2020). Factors Associated With Aggressiveness of End-of-Life Care for Lung Cancer Patients and Associated Costs of Care . Clinical Lung Cancer.

Lawton, J., Achit, H., Pouillon, L., Boschetti, E., Demore, B., Matton, T., Tournier, C., Prodel, M., Peyrin-Biroulet, L., Guillemin, F.(2019). Cost-of-illness of inflammatory bowel disease patients treated with anti-tumour necrosis factor: A French large single-centre experience . United European Gastroenterology Journal. 7. (7). p. 908-913.

Prodel, M., Augusto, V., Jouaneton, B., Lamarsalle, L., Xie, X.(2018). Optimal Process Mining for Large and Complex Event Logs . IEEE Transactions on Automation Science and Engineering. 15. (3). p. 1309-1325.

Bourgoin-Heck, M., Specq, M.-L., Samson, N., Nadeau, C., Prodel, M., Corbin, F., Praud, J.-P.(2015). Effects of Moderate Hyperbilirubinemia on Nutritive Swallowing and Swallowing-Breathing Coordination in Preterm Lambs . Neonatology. 108. (1). p. 42-48.

CONFERENCE PAPER

Oliveira, H.D., Augusto, V., Jouaneton, B., Lamarsalle, L., Prodel, M., Xie, X.(2020). An optimization-based process mining approach for explainable classification of timed event logs . IEEE International Conference on Automation Science and Engineering. 2020-August. p. 43-48.

Prodel, M., Lamarsalle, L., Augusto, V.(2019). ATLAS: A Robust Algorithm for Temporal Sequence Alignment of Treatment Lines using Claim Databases . 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019.

De Oliveira, H., Prodel, M., Augusto, V.(2019). Binary Classification on French Hospital Data: Benchmark of 7 Machine Learning Algorithms . Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. p. 1743-1748.

Prodel, M., Augusto, V., Xie, X., Jouaneton, B., Lamarsalle, L.(2017). Stochastic simulation of clinical pathways from raw health databases . IEEE International Conference on Automation Science and Engineering. 2017-August. p. 580-585.

Augusto, V., Xie, X., Prodel, M., Jouaneton, B., Lamarsalle, L.(2016). Evaluation of discovered clinical pathways using process mining and joint agent-based discrete-event simulation . Proceedings - Winter Simulation Conference. 0. p. 2135-2146.

Prodel, M., Augusto, V., Xie, X., Jouaneton, B., Lamarsalle, L.(2015). Discovery of patient pathways from a national hospital database using process mining and integer linear programming . IEEE International Conference on Automation Science and Engineering. 2015-October. p. 1409-1414.

Prodel, M., Augusto, V., Xie, X.(2015). Hospitalization admission control of emergency patients using Markovian Decision Processes and discrete event simulation . Proceedings - Winter Simulation Conference. 2015-January. p. 1433-1444.