María Nanton - CV

Overview

Selected work experience

The Global Health Network. University of Oxford.

AI Developer (Dec 2025 - present)

  • Develop AI-driven, open source-based tools to support global health research and collaboration, connecting researchers and professionals with modern, accessible technologies.
  • Design and implement software solutions that bridge technical capabilities with real-world public health needs across international research communities.
  • Actively contribute to global open science and programming communities of practice, promoting knowledge sharing, collaboration, and the adoption of open tools for data-driven initiatives.

Health Information and Statistics Office. Buenos Aires City Ministry of Health.

AI & Data Science Projects Coordinator (2026 - present)

  • Coordinate and oversee high-impact Artificial Intelligence and Data Science projects end-to-end, from scope definition to deployment, aligned with senior management’s strategic objectives.
  • Lead cross-functional collaboration across internal data/AI teams, business areas, and external vendors/partners to ensure successful project delivery.
  • Manage projects spanning Natural Language Processing (NLP), algorithmic decision-making systems, and data pipeline design and implementation.

Head of Data Science (2023 - 2025)

  • Management of 20+ data analyst and data scientists
  • Responsible for overseeing and driving strategic decision-making at the Office level (team with 30+ members)
  • Direct coordination of Data Analysis and Data Science projects

Data Analyst (2020 - 2023)

  • Analysis and processing of databases using R and SQL.
  • Development of complex algorithms and coordination of applied Machine Learning projects.
  • Design, development, and delivery of data-based digital products.
  • Redesign of digital product development workflows for the Office.
  • Design and implementation of data quality and integrity validation processes.

iMettrics

Data Analyst (2019 - 2020)

  • Reporting and Insights Analyst - Digital Performance Analytics.
  • Responsible for creating dashboards, presenting reports to clients, and performing on-demand analysis.
  • Collaboration in the formulation of measurement strategies and data analysis based on tactical and strategic objectives.

Selected education

M.S., Data Mining (in progress)

  • School of Exact and Natural Sciences

  • University of Buenos Aires

B.S., Social Communication (2019)

  • School of Social Sciences

  • University of Buenos Aires

Selected teaching experience

Advanced Statistics Assistant Professor (2024 - present) - Italian Hospital University Institute, M.S. in Clinical Research

Instructor (certification in 2021) - The Carpentries

Data Science Instructor (2019 - 2021) - Argentine School of New Technologies (EANT)

Lead Instructor (2019 - present) - R programming, data analysis and visualization courses

Selected community developments

R-Ladies Global team (2025 - present)

MetaDocencia - Infrastructure Developer and Instructor (2023 - Jan 2025)

MetaDocencia is an organization committed to advancing Open Science practices across Latin America and the Caribbean. Its work focuses on capacity-building, adapting and creating educational resources in Spanish, and fostering a network of regional communities and stakeholders. Currently, it is part of the NASA TOPS initiative and serves as the contextualizer for NASA materials in Spanish.

R-Ladies Buenos Aires - organizer/Instructor (2019 - present)

R-Ladies is an international initiative dedicated to promoting diversity and inclusion within the R programming community. The Buenos Aires chapter organizes 3 to 6 events annually, featuring activities such as technical skill-building workshops, short presentations by members and guest speakers, as well as community-building and networking opportunities.

LatinR - organizer committee (2021, 2023)

Latin American Conference about the Use of R for Research + Development

Selected awards and scholarships

SALA AI - Summit of AI in LatAm 2026

  • Selected to participate in this highly competitive event, recognized for academic excellence and contributions to diversity in AI research.

Epiverse-TRACE-LAC 2023

  • Outbreak Analysis and Public Health Modeling international course in Bogotá, Colombia. Event led by the Pontificia Universidad Javeriana within the the Epiverse-TRACE-LAC project supported by Universidad de los Andes, the London School of Hygiene and Tropical Medicine, data.org, the International Development Research Centre (IDRC) of Canada, the Bogotá Health Secretariat, the National Institute of Health (INS), the Field Epidemiology Training Program (FETP), the Network of Field Epidemiology Programs in South America (REDSUR), Imperial College London, and the University of Sussex.

KHIPU 2023

  • Latin American Meeting in Artificial Intelligence, Montevideo, Uruguay Selected to participate in this highly competitive event, recognized for academic excellence and contributions to diversity in AI research.

Posit Opportunity Scholarship (2023)

  • Posit::conf(2023), Chicago, USA Awarded funding to attend the Posit Conference 2023. Covered travel, accommodation, meals, and conference fees.