Equipo Central

Magdalena graduated from Sciences Po Paris with a BA in Latin American Studies and holds a Master’s in International Relations (Sciences Po Paris) and another in Sustainable Development Project Management (Paris Sud). She has 5 years of professional experience in project management, research, and communications in the private sector and in international cooperation in France and Colombia. In France, she worked for the NGO Fairtrade, promoting fair trade, and later worked for two multinational firms in the public services sector. She has also worked for the French Development Agency (AFD) to improve social and environmental project monitoring. In Colombia, she has worked as a consultant on project related to green growth, peace building, and corporate responsibility in the hydrocarbon sector.

Magdalena graduated from Sciences Po Paris with a BA in Latin American Studies and holds a Master’s in International Relations (Sciences Po Paris) and another in Sustainable Development Project Management (Paris Sud). She has 5 years of professional experience in project management, research, and communications in the private sector and in international cooperation in France and Colombia. In France, she worked for the NGO Fairtrade, promoting fair trade, and later worked for two multinational firms in the public services sector. She has also worked for the French Development Agency (AFD) to improve social and environmental project monitoring. In Colombia, she has worked as a consultant on project related to green growth, peace building, and corporate responsibility in the hydrocarbon sector.

Magdalena Arbeláez Tobón

Coordinadora para Colombia

Yves-Alexandre is an Assistant Professor (Lecturer) at Imperial College London, where he heads the Computational Privacy Group, and a research affiliate at MIT. His research aims at understanding how the unicity of human behavior impacts the privacy of individuals--through re-identification or inference--in rich high-dimensional datasets such as mobile phone, credit cards, or browsing data. Yves-Alexandre was recently named an Innovator under 35 for Belgium (TR35). His research has been published in Science and Nature SRep. and covered by the BBC, CNN, New York Times, Wall Street Journal, Harvard Business Review, Le Monde, Die Spiegel, Die Zeit, El Pais as well as in his TEDx talks. His work on the shortcomings of anonymization has appeared in reports of the World Economic Forum, United Nations, OECD, FTC, and the European Commission. Before coming to MIT, he was a researcher at the Santa Fe Institute in New Mexico. Yves-Alexandre worked for the Boston Consulting Group and acted as an expert for both the Bill and Melinda Gates Foundation and the United Nations. He is a member of the WEF network on AI, IoT and the Future of Trust; the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems; and the OECD Advisory Group on Health Data Governance. He received in PhD from MIT in 2016 and obtained, over a period of 6 years, an M.Sc. from Louvain in Applied Mathematics, a M.Sc. (Centralien) from Ecole Centrale Paris, a M.Sc. from KULeuven in Mathematical Engineering as well as his B.Sc. in engineering at Louvain.

Yves-Alexandre is an Assistant Professor (Lecturer) at Imperial College London, where he heads the Computational Privacy Group, and a research affiliate at MIT. His research aims at understanding how the unicity of human behavior impacts the privacy of individuals--through re-identification or inference--in rich high-dimensional datasets such as mobile phone, credit cards, or browsing data. Yves-Alexandre was recently named an Innovator under 35 for Belgium (TR35). His research has been published in Science and Nature SRep. and covered by the BBC, CNN, New York Times, Wall Street Journal, Harvard Business Review, Le Monde, Die Spiegel, Die Zeit, El Pais as well as in his TEDx talks. His work on the shortcomings of anonymization has appeared in reports of the World Economic Forum, United Nations, OECD, FTC, and the European Commission. Before coming to MIT, he was a researcher at the Santa Fe Institute in New Mexico. Yves-Alexandre worked for the Boston Consulting Group and acted as an expert for both the Bill and Melinda Gates Foundation and the United Nations. He is a member of the WEF network on AI, IoT and the Future of Trust; the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems; and the OECD Advisory Group on Health Data Governance. He received in PhD from MIT in 2016 and obtained, over a period of 6 years, an M.Sc. from Louvain in Applied Mathematics, a M.Sc. (Centralien) from Ecole Centrale Paris, a M.Sc. from KULeuven in Mathematical Engineering as well as his B.Sc. in engineering at Louvain.

YVES ALEXANDRE DE MONTJOYE

 CTO

Natalie Grover is Operations Officer at Data-Pop Alliance. She graduated with dual degrees in International Politics and Mandarin. Prior to joining Data-Pop Alliance, she most recently worked in Oaxaca, Mexico with a microfinance organization. Natalie has also worked with NGOs focusing on gender equality and sustainable development in Brazil, Argentina, and China.

Natalie Grover is Operations Officer at Data-Pop Alliance. She graduated with dual degrees in International Politics and Mandarin. Prior to joining Data-Pop Alliance, she most recently worked in Oaxaca, Mexico with a microfinance organization. Natalie has also worked with NGOs focusing on gender equality and sustainable development in Brazil, Argentina, and China.

NATALIE GROVER

Gerente de Programa Global

Shubham is contributing to the development of the OPAL Platform.Shubham received his Bachelor's in Technology with Honors in Computer Science from IIT Bombay (India) in 2016. He was a founding member of Qure.ai, a startup working towards automating radiology using deep learning, where he lead the efforts in various tasks including medical image segmentation, development of the Web platform for deploying ML models and research in interpretable machine learning. He came back to academia as Research Assistant at Data Science Institute in Imperial College London. His research interests encompass software architecture, network security and privacy-enhancing technologies.

Shubham is contributing to the development of the OPAL Platform.Shubham received his Bachelor's in Technology with Honors in Computer Science from IIT Bombay (India) in 2016. He was a founding member of Qure.ai, a startup working towards automating radiology using deep learning, where he lead the efforts in various tasks including medical image segmentation, development of the Web platform for deploying ML models and research in interpretable machine learning. He came back to academia as Research Assistant at Data Science Institute in Imperial College London. His research interests encompass software architecture, network security and privacy-enhancing technologies.

Shubham Jain

Emmanuel Letouzé is the Director and co-Founder of Data-Pop Alliance, a coalition on Big Data and development co-created in 2013 by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, joined in 2016 by the Flowminder Foundation as its 4th core member. He is a Visiting Scholar at MIT Media Lab, a Research Affiliate at HHI and a Research Associate at ODI. He is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012) and of the 2013 and 2014 OECD Fragiles States reports. His research and work focus on Big Data’s application and implications for official statistics, poverty and inequality, conflict, crime, and fragility, climate change, vulnerability and resilience, and human rights, ethics, and politics. He worked as a Development Economist for UNDP in New York from 2006-09 on fiscal policy, post-conflict economic recovery and migration, and between 2000-04 in Hanoi, Vietnam, for the French Ministry of Finance as a technical assistant in public finance and official statistics. He holds a BA in Political Science and an MA in Economic Demography from Sciences Po Paris, an MA from Columbia University School of International and Public Affairs, where he was a Fulbright Fellow, and a PhD from the University of California, Berkeley. He also a political cartoonist for various publications and media as ‘Manu’.

Emmanuel Letouzé is the Director and co-Founder of Data-Pop Alliance, a coalition on Big Data and development co-created in 2013 by the Harvard Humanitarian Initiative, MIT Media Lab, Overseas Development Institute, joined in 2016 by the Flowminder Foundation as its 4th core member. He is a Visiting Scholar at MIT Media Lab, a Research Affiliate at HHI and a Research Associate at ODI. He is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012) and of the 2013 and 2014 OECD Fragiles States reports. His research and work focus on Big Data’s application and implications for official statistics, poverty and inequality, conflict, crime, and fragility, climate change, vulnerability and resilience, and human rights, ethics, and politics. He worked as a Development Economist for UNDP in New York from 2006-09 on fiscal policy, post-conflict economic recovery and migration, and between 2000-04 in Hanoi, Vietnam, for the French Ministry of Finance as a technical assistant in public finance and official statistics. He holds a BA in Political Science and an MA in Economic Demography from Sciences Po Paris, an MA from Columbia University School of International and Public Affairs, where he was a Fulbright Fellow, and a PhD from the University of California, Berkeley. He also a political cartoonist for various publications and media as ‘Manu’.

EMMANUEL LETOUZÉ

Director de Programa

Carlos is the Technical Programme Manager responsible for coordination of the technical workstream for the development of the OPAL(Open Algorithms) platform and algorithm selection and support on partnership development with key technical partners.  His main professional experience comprises data analytics and telecommunications. Before joining OPAL, he worked as a Business Analytics Analyst / Research Software Engineer in a local startup in Pittsburgh PA, USA, where he supported the research, development and launch of a commercial mobile platform for performing textual analysis of daily financial news articles employing Machine Learning, Natural Language Processing and state-of-the-art research. Previously, he worked in the telecommunications industry between 2008-2012 as a Core Network Engineer in Huawei Technologies, Guatemala, where he collaborated with the implementation of the first 3G mobile network in Central America and the Caribbean and supported other large-scale projects including an international long distance calls mobile switching center deployment in 14 different countries in Latin America.  He holds a B.S. in Electronic Engineering from Universidad de San Carlos de Guatemala and a M.S. in Public Policy and Management with a Data Analytics specialization from Carnegie Mellon University, Pittsburgh PA, USA. He also serves as a Visiting Scholar for the Latin American Programs of the Language Technologies Institute, School of Computer Science at Carnegie Mellon University.

Carlos is the Technical Programme Manager responsible for coordination of the technical workstream for the development of the OPAL(Open Algorithms) platform and algorithm selection and support on partnership development with key technical partners.

His main professional experience comprises data analytics and telecommunications. Before joining OPAL, he worked as a Business Analytics Analyst / Research Software Engineer in a local startup in Pittsburgh PA, USA, where he supported the research, development and launch of a commercial mobile platform for performing textual analysis of daily financial news articles employing Machine Learning, Natural Language Processing and state-of-the-art research. Previously, he worked in the telecommunications industry between 2008-2012 as a Core Network Engineer in Huawei Technologies, Guatemala, where he collaborated with the implementation of the first 3G mobile network in Central America and the Caribbean and supported other large-scale projects including an international long distance calls mobile switching center deployment in 14 different countries in Latin America.

He holds a B.S. in Electronic Engineering from Universidad de San Carlos de Guatemala and a M.S. in Public Policy and Management with a Data Analytics specialization from Carnegie Mellon University, Pittsburgh PA, USA. He also serves as a Visiting Scholar for the Latin American Programs of the Language Technologies Institute, School of Computer Science at Carnegie Mellon University.

CARLOS MAZARIEGOS

Gerente Técnico de Programa

Julie graduated with two Masters degrees (1) in International Development by the Paris School of International Affairs (Sciences Po Paris) and (2) in Gender Studies by Université Paris Diderot (Paris VII). She also holds a B.A. in Latin American Studies (Sciences Po Paris). She has worked at the French Agency for Development, supporting the implementation of the gender strategy by doing research and developing knowledge products. Julie’s key responsibilities include leading capacity-building and training activities, conducting and coordinating research, and overseeing project design and delivery.

Julie graduated with two Masters degrees (1) in International Development by the Paris School of International Affairs (Sciences Po Paris) and (2) in Gender Studies by Université Paris Diderot (Paris VII). She also holds a B.A. in Latin American Studies (Sciences Po Paris). She has worked at the French Agency for Development, supporting the implementation of the gender strategy by doing research and developing knowledge products. Julie’s key responsibilities include leading capacity-building and training activities, conducting and coordinating research, and overseeing project design and delivery.

JULIE RICARD

Gerente de Construcción de Capacidades

 

Senegal TEAM

Titulaire d’un Master 1 en Informatique à l’Université Claude Bernard de Lyon puis d’un Master 2 en Management de projet à l’Institut Supérieur de Management (ISM) de Dakar , en 2006, après une licence en Informatique et un DEUG en MIAS (Mathématiques Informatique Appliquée aux Sciences) à l’Université Paul Sabatier de Toulouse.  Employée par la SONATEL depuis 2007 , au sein de la Direction des Systèmes d’Informations en tant qu’intégrateur/développeur d’applications du domaine SI Client et Tiers , puis devenue Chef de projet Intégrateur en 2010 , dans le domaine SI Interco et Roaming.  Spécialisée dans les Études et Architecture des solutions du domaine SI Back Ends à partir de 2012, précisément dans le domaine OSS/BSS (solutions SI pour les métiers et les interfaces réseaux), en étant en charge des études avant-projet (études d’opportunités et de faisabilité), de la mise en place d’architecture technique et fonctionnelle et de veille technologique dans le domaine SI back end, tout en assurant le rôle de Business Analyst pour les différentes Business Units.  Depuis Décembre 2017 , responsable du programme de diversification de Sonatel dans le domaine des plateformes et services B2B , au sein de la Direction de la Stratégie et du Développement, avec un pilotage de la stratégie de diversification du Groupe Sonatel selon le processus Think - Build et Run, dont le projet OPAL, dans le cadre du programme de diversification sur le Big Data.

Titulaire d’un Master 1 en Informatique à l’Université Claude Bernard de Lyon puis d’un Master 2 en Management de projet à l’Institut Supérieur de Management (ISM) de Dakar , en 2006, après une licence en Informatique et un DEUG en MIAS (Mathématiques Informatique Appliquée aux Sciences) à l’Université Paul Sabatier de Toulouse.

Employée par la SONATEL depuis 2007 , au sein de la Direction des Systèmes d’Informations en tant qu’intégrateur/développeur d’applications du domaine SI Client et Tiers , puis devenue Chef de projet Intégrateur en 2010 , dans le domaine SI Interco et Roaming.

Spécialisée dans les Études et Architecture des solutions du domaine SI Back Ends à partir de 2012, précisément dans le domaine OSS/BSS (solutions SI pour les métiers et les interfaces réseaux), en étant en charge des études avant-projet (études d’opportunités et de faisabilité), de la mise en place d’architecture technique et fonctionnelle et de veille technologique dans le domaine SI back end, tout en assurant le rôle de Business Analyst pour les différentes Business Units.

Depuis Décembre 2017 , responsable du programme de diversification de Sonatel dans le domaine des plateformes et services B2B , au sein de la Direction de la Stratégie et du Développement, avec un pilotage de la stratégie de diversification du Groupe Sonatel selon le processus Think - Build et Run, dont le projet OPAL, dans le cadre du programme de diversification sur le Big Data.

Fatou Camara

Líder de Proyecto OPAL - Sonatel

Talla Ndiaye is a computer and information systems engineer specialized in BI / Big Data. Formerly a technical consultant with EPM / BI / Big Data from 2014 to 2016 for clients such as Auchan, Casino, Gemalto, Air liquide, Galderma International, etc. He worked as a DSI contributor for the Data 4 Development (D4D) and Flux Vision projects (with AFD & Cetud). Talla is in charge of deploying and operating OPAL at Sonatel  Talla Ndiaye, ingénieur en informatique et systèmes d’information spécialisé en BI / Big Data. Anciennement consultant technique EPM / BI / Big Data de 2014 à 2016 pour des clients comme Auchan, Casino, Gemalto, Air liquide, Galderma International, etc. Aujourd’hui Ingénieur BI/ Big Data à la Sonatel, contributeur DSI pour les projets Data 4 Development (D4D) et Flux Vision (avec AFD & Cetud). En charge du déploiement et de l’exploitation de OPAL chez Sonatel

Talla Ndiaye is a computer and information systems engineer specialized in BI / Big Data. Formerly a technical consultant with EPM / BI / Big Data from 2014 to 2016 for clients such as Auchan, Casino, Gemalto, Air liquide, Galderma International, etc. He worked as a DSI contributor for the Data 4 Development (D4D) and Flux Vision projects (with AFD & Cetud). Talla is in charge of deploying and operating OPAL at Sonatel

Talla Ndiaye, ingénieur en informatique et systèmes d’information spécialisé en BI / Big Data. Anciennement consultant technique EPM / BI / Big Data de 2014 à 2016 pour des clients comme Auchan, Casino, Gemalto, Air liquide, Galderma International, etc. Aujourd’hui Ingénieur BI/ Big Data à la Sonatel, contributeur DSI pour les projets Data 4 Development (D4D) et Flux Vision (avec AFD & Cetud). En charge du déploiement et de l’exploitation de OPAL chez Sonatel

A graduate engineer from Telecom Bretagne, Cheikh is now in charge of BI and Big Data studies at SONATEL's IT department.  Ingénieur de formation diplômé à Telecom Bretagne, Cheikh est aujourd'hui en charge des études dans le domaine BI et Big Data au sein de la direction des systèmes d'information de la SONATEL.

A graduate engineer from Telecom Bretagne, Cheikh is now in charge of BI and Big Data studies at SONATEL's IT department.

Ingénieur de formation diplômé à Telecom Bretagne, Cheikh est aujourd'hui en charge des études dans le domaine BI et Big Data au sein de la direction des systèmes d'information de la SONATEL.

Talla NDIAYE

BI / Ingeniero Big Data - Sonatel

Cheikh ndongo

BI / Arquitecto Big Data - Sonatel

Statisticien, conseiller en planification et professeur de mathématiques, je suis spécialisé entre autres, en collecte, traitement et analyse de données, en comptabilité nationale, en statistiques d’entreprises, en suivi-évaluation, en gestion axée sur les résultats, dans l’enseignement et en techniques quantitatives de gestion.  Titulaire d’un Diplôme d’Etudes Approfondies en algèbre et d’un Diplôme d’Etudes Supérieures Bancaires et Financières (DESBF), je suis actuellement le Chef de Division des Statistiques Économiques par intérim de l’Agence Nationale de la Statistique et de la Démographie (ANSD) du Sénégal avec entre autres tâches : la coordination de l’élaboration de la Banque de Données Économiques et Financières (BDEF), le suivi de la démographie des entreprises et du Répertoire National des Entreprises et Associations (RNEA), la gestion du Numéro d’Identification des Entreprises et Associations (NINEA) et du Centre Unique de Collecte de l’Information (CUCI), la réalisation d’enquêtes et d’activités spécifiques visant à éclairer les décisions de politiques économiques.

Statisticien, conseiller en planification et professeur de mathématiques, je suis spécialisé entre autres, en collecte, traitement et analyse de données, en comptabilité nationale, en statistiques d’entreprises, en suivi-évaluation, en gestion axée sur les résultats, dans l’enseignement et en techniques quantitatives de gestion.

Titulaire d’un Diplôme d’Etudes Approfondies en algèbre et d’un Diplôme d’Etudes Supérieures Bancaires et Financières (DESBF), je suis actuellement le Chef de Division des Statistiques Économiques par intérim de l’Agence Nationale de la Statistique et de la Démographie (ANSD) du Sénégal avec entre autres tâches : la coordination de l’élaboration de la Banque de Données Économiques et Financières (BDEF), le suivi de la démographie des entreprises et du Répertoire National des Entreprises et Associations (RNEA), la gestion du Numéro d’Identification des Entreprises et Associations (NINEA) et du Centre Unique de Collecte de l’Information (CUCI), la réalisation d’enquêtes et d’activités spécifiques visant à éclairer les décisions de politiques économiques.

 
 

Insa Sadio

Líder de Proyecto OPAL - ANSD