Emmanuel ROUSSEAUX. Education. Work experience

Transcription

1 Emmanuel ROUSSEAUX Address Geneva School of Economics and Management Phone Office Uni-Mail Age 29 CH-1211 Geneva 4 Nationality French Switzerland Website Education [5-6] PhD in Data Mining, University of Geneva. (expected) Co-directed by Gilbert Ritschard and Michel Leonard M.Sc. (research) in Data Mining and Knowledge Management, Nantes-Lyon. Upper second class Honours, top of the year (1/17) Polytech Nantes : Graduate School of Engineering of the University of Nantes. Upper second class Honours, top of the year (1/72) First year in M.Sc. Fundamental and Applied Mathematics, with distinction Licence : B.Sc. in Mathematics, with distinction. Work experience 2010 now Teaching and Research Assistant, University of Geneva, Department of Econometrics (2010), Department of Economics ( ), Geneva School of Economics and Management (2014-now) - Research: Methodological approaches for mining critical events in life course data. - Teaching: please refer to the Teaching Section. - IT Manager of the Department of Economics, then IT Manager ad interim of the GSEM: IT equipment and supplies management, Windows/Unix/Mac helpdesk, computing servers management, web site administration, consulting in software solutions. - Administrative responsabilities: Representative of the Intermediary Staff at the SES Faculty board ( ), then representative of the Intermediary Staff at the University board (from 2013) Internship in the Econometrics Department of the University of Geneva (6 months) Topic of the intership Decision trees on unbalanced data sets Literature review, solution proposal, implementation, validation on real data sets, draft of a paper. (3 months) Project manager of a reporting work for the company Atlantica, Nantes. Client support, setting up dashboards, specifications checking. (3 months) Manager of the IdeSYS development team of the SPEED program ( Strategies for Pulmonary Embolism in Emergency Department") lead by the University Hospital of Angers. Setting up of the distribution website of the softwares (www.thrombus.fr). Study and development of the iphone release. (2 months) Project manager of the School project Visualisation and Interaction in Social Networks. Elected by other students to manage the 20-people team. (4 months) R&D project within the School : A collaborative and easily upgradable work tool based around a workflow and a database Work placement at the University Hospital Center of Angers. (3 months) - Study and developpment of a clinical decision support for suspected VTE (venous thromboembolism) to help diagnosis work in emergency departments. Specifications, design for JavaSE and JavaME, client/server data synchronisation and private data encryption. Emmanuel Rousseaux CV / 5

2 Implementation of the Desktop application (released in beta), administrator and user manuals. Cost evaluation for the iphone version. (6 months) Collaborative work with BeanAir (Paris). Study of Mobility of the main defaults diagnostic expert system to a probability system (using bayesian networks) (1 year) Active member and treasurer of IDESYS : Student company at Polytech Nantes (www.idesys.org). - Management of finance, and human resources of the association. - Project coordination Teaching maths and computer science to 2 post-baccalaureat classes at "Lycée Clémenceau", Nantes. (2 years) (2 years) Private tutor for "Acadomia" and "Complétude", Nantes (school support in maths & computer science). Research Thesis project A Data mining approach for the discovery of critical events in life courses (title) This thesis aims at providing some methodological tools for the study of the vulnerability accross the life course. We are here interested in being able to explain why some individuals experience critical life situations, while some others succeed in avoiding them. Reasons of experiencing critical life situations are most often complex and generally result from the interaction of several factors. Furthermore, critical life events are usually rare. This makes the task of modelizing vulnerabilization processes difficult for the mind, and thus motivate the need for exploratory tools to mine data and highlight relevant patterns. The dissertation will start with a review of most-known machine learning classifiers. Then I will pursue the review by focusing on classical strategies aiming at overcoming the imbalance and unfrequent class issue. My methodological contributions will first concern a decision tree method for discovering profiles of vulnerable individuals. Then I will pursue this work by providing an association rule classifier aiming at (1) discovering what sequences of events may lead to experience a critical life situation, and (2) discovering what events can protect individuals against this critical situation. Our methods will be released within the R software which does not natively deal with survey data. We will design a specific framework for handling survey data in R - the Rsocialdata package - within which our two methodological contributions will be integrated.(abstract) Affiliations NCCR LIVES, IP 214 NCCR LIVES: "Overcoming Vulnerability: Life Course Perspectives" IP 214 : "Measuring Vulnerability", led by Gilbert Ritschard University of Geneva, Switzerland Institute for Demographic and Life Course Studies, University of Geneva, Switzerland Institute of Information Systems and Service Science, University of Geneva, Switzerland IEEE, Institute of Electrical and Electronics Engineers IEEE Computer Society, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computational Intelligence Society, IEEE Systems, Man, and Cybernetics Society. Emmanuel Rousseaux CV / 5

3 Research projects NCCR LIVES, IP14: Measuring life sequences and the disorder of lives (position: member) The project led by Gilbert Ritschard focuses on the development of complex methodological tools for analyzing processes of vulnerability. The skills and progresses of this group are also being used for the other projects through advices and training workshops. Rsocialdata: Handling survey data in R (position: leader) Pre-processing survey data before running into analysis is not an easy task. The job is even harder when we work on longitudinal data and network data. The Rsocialdata project aims at providing researchers in social sciences high-level tools for storing, sharing, and pre-processing survey data in a secure and efficient way. The project introduces, in particular, a variable and value labels management system, a specific framework for handling weights, and a data consistency and representativity to the initial population check system. The software is developed as a series of R packages: - 'Rsocialdata' for cross-sectional and longitudinal survey data. - 'Rsocialdata.network' for network survey data. Articles Cullati S., Rousseaux E., Gabadinho A., Courvoisier D.S. and Burton-Jeangros C. (2014), Factors of change and cumulative factors in self-rated health trajectories: a systematic review, Advances in Life Course Research, Elsevier, Vol. 19, pp Bürgin, R., Ritschard, G. & Rousseaux, E. (2012), Visualisation de séquences d événements, In Extraction et gestion des connaissances (EGC 2012), Revue des Nouvelles Technologies de l Information (RNTI), E. Vol. E-23, pp Bürgin, R., Ritschard, G. & Rousseaux, E. (2012), Exploration graphique de données séquentielles, In Atelier Fouille Visuelle de Données : méthologie et évaluation, EGC 2012, Bordeaux, pp Association EGC. Conferences, workshops and invited talks Rousseaux E. and Ritschard G. (2014), An association rule miner for unbalanced data based on artificial bee colony optimization, In 21st International Conference on Computational Statistics, Geneva, Switzerland, August 19-22th, Rousseaux E., Deville M. and Ritschard G. (2014), The SPNET package: Plotting social networks on maps with R, In 3èmes Rencontres R, Montpellier, France, June 25-27th, Deville M. and Rousseaux E. (2014), A Spatial Network Approach for Measuring the Differentiation between Content and Relational Dynamics in the Political Debate, In 7th Political Networks Conference, McGill University, Montreal, Canada, May 28-31th, Guarin A. and Rousseaux E. (2013), Access to the labour market among second-generation immigrants in Switzerland, In 9e Congrès de la Société Suisse de Sociologie, Bern, June 26-28th, Rousseaux E., Bolano D. and Ritschard G. (2013), The Rsocialdata package: Handling survey data in R, In XXVII IUSSP International Population Conference, Busan, Republic of Korea, August 26-31th, Rousseaux, E. (2011), Arbres de décision pour la découverte de profils vulnérables, in Séminaire de recherche Statistique en sciences sociales et démographie, Institut de démographie et du parcours de vie, Université de Genève. Emmanuel Rousseaux CV / 5

4 Grands and Awards 2014 Travel fellowship for presenting to the 2014 Political Networks Conference, by the Fellowship Committee for the 2014 Political Networks Conference and the National Science Foundation, USD Financial support for presenting to the XXVII International Population Conference, by the Société Académique de Genève, CHF Fellowship for a Master internship, by the Région des Pays de la Loire, France, EUR. Teaching Course title Main topics Level Lang. Years Mathématique II Analyse statistique de données catégorielles Statistiques pour sciences sociales Outils informatique pour l économie Statistical Inference Nombres complexes, dérivée des fonctions de plusieurs variables, théorème des fonctions implicites, approximation linéaire, extremums libres, extremums sous contraintes, théorème de l enveloppe, valeurs propres d une matrice, formes quadratiques, convexité et concavité, qualification des extremums. Mise en place d une problématique en socioéconomique, introduction à R, gestion des données d enquête sous R, recodages, analyses univariées, analyses bivariées (symétriques, directionnelles, ordinales), arbres de décisions, régression logistique, rédaction d un article scientifique. Statistiques descriptives, probabilités, probabilités conditionnelles, variables aléatoires discrètes, variables aléatoires continues, loi normale, estimation ponctuelle, intervalles de confiance, théorie des tests d hypothèses, test de moyenne avec variance connue, test d indépendance du Chi-carré. Calcul formel sous Maple (polynômes, dérivation, intégration, variables aléatoires, limites de suites). Introduction à L A TEX. Calcul numérique sous Matlab (calcul matriciel, boucles, conditions, graphiques, variables aléatoires, quadrature, méthode de Newton, algorithme du point fixe, limites de suites). Random variables, moments, sampling methods, Central-limit theorem, method of moments estimators, maximum likelihood estimators, least square estimators, bias, efficiency, convergence, Cramer- Rao bound, linear regression, hypothesis testing, Newman-Pearson lemma, mean test (variance known/unknown), variance test, ANOVA, nonparametric statistics (Mann Whitney, Wilcoxon, Kruskal Wallis). Bachelor FR 2010 Master FR now Bachelor FR 2011 Bachelor FR 2011 Master EN now Emmanuel Rousseaux CV / 5

5 Skills - Studied notions Datamining : Decision Trees, Association Rules, Induction Graphs, Neuronal Networks and Machine Learning techniques, Knowledge Validation, Knowledge Visualisation. Tools : R, SAS Entreprise Miner, Weka, Tanagra, KXEN. Knowledge-based systems : Bayesians Networks, basics Artificial Intelligence methods, Data Quality and Knowledge Validation, Information Visualisation, Semantic Web and Ontologies. Mathematics for the decision : Optimisation and Meta-Heuristics, Multicriteria Decision-Aide, Game Theory. Languages: PL-SQL, R, C++/C#, JavaSE, JavaME, Maple/Matlab, PHP, Lisp, OCaml, Prolog, Ruby, L A TEX. Development and office tools: Visual Studio, Eclipse, MS-Office (Word, Excel,...), MS-Project, VMware. Corporate skills : Team management, negotiation, quality assurance, innovation, accounting, and good skills in Project Management. Languages: French native speaker. German (A2) English (C1) Spanish (A2) Social skills: Dynamic, enthusiastic, organised, I like working in a team. I enjoy challenges and thrive in problem solving situations. Hard worker. Driving license (A,B). Emmanuel Rousseaux CV / 5