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Academic and Executive Education

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Motivation

Since high school times I am coding and thinking software to solve problems. There is always a page in blank…

Culture

My family culture believes that investing in education is the path to follow with confidence and altitude in your professional career. So, I have tracked both academic and executive education accomplishments.

Here you will find:

Employment

  • UMC Utrecht – Coordinator / Scientific Programming / Assistant Professor (Data Science and Biostatistics), Utrecht, NL

Academic Titles

  • Bachelor in Computer Science - PUC-RS (Pontifícia Universidade Católica do Rio Grande do Sul): 1995–2001

  • Master in Clinical Research - HCPA/UFRGS (Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul): 2016–2018

  • PhD in Epidemiology - FAMED/UFRGS (Faculdade de Medicina, Universidade Federal do Rio Grande do Sul): 2018–2022

ORCID: https://orcid.org/0000-0003-3125-0662
Lattes: http://lattes.cnpq.br/3125940334707048

Executive Education

  • MIT Certificate in Management and Leadership (Sloan Management School): 2013–2015

  • Harvard Business School (Leading Change and Organisational Renewal): 2012

  • ESPM - MBA (Executive, Business, Management, Marketing, and Related Support Services): 2004–2006

  • University of California - Riverside Extension Center (English for International Business)

Research Publications (21)

  1. A Systematic Review to Summarize and Critically Appraise Existing Phenotype Libraries Using Electronic Health Records — Pharmacoepidemiology and Drug Safety, 2026. DOI: 10.1002/pds.70378

  2. Impact and Effectiveness of COVID‑19 mRNA Vaccination Against COVID‑19 Hospitalisation in Paediatrics: A Cohort Study Using Two Linked Data Sources in Spain — Pharmacoepidemiology and Drug Safety, 2025. DOI: 10.1002/pds.70239

  3. In Search of a Pragmatic Risk Prediction in Heart Failure — Arquivos Brasileiros de Cardiologia, 2025. DOI: 10.36660/abc.20250685

  4. Real‑World Evidence BRIDGE: A Tool to Connect Protocol With Code Programming — Pharmacoepidemiology and Drug Safety, 2024. DOI: 10.1002/pds.70062

  5. Ontology for Healthcare AI Privacy in Brazil — Revista de Informática Teórica e Aplicada, 2024. DOI: 10.22456/2175-2745.140570

  6. Real-World Evidence BRIDGE: a tool to connect protocol with code programming — Preprint, 2024. DOI: 10.1101/2024.05.08.24306833

  7. COVID-19 and pregnancy: A European study on pre- and post-infection medication use — European Journal of Clinical Pharmacology, 2024. DOI: 10.1007/s00228-024-03639-z

  8. Hospital-acquired infections surveillance: The machine-learning algorithm mirrors National Healthcare Safety Network definitions — Infection Control & Hospital Epidemiology, 2024. DOI: 10.1017/ice.2023.224

  9. Nursing workload: use of artificial intelligence to develop a classifier model — Revista Latino-Americana de Enfermagem, 2024. DOI: 10.1590/1518-8345.7131.4238

  10. Carga de trabalho de enfermagem: uso de inteligência artificial para o desenvolvimento de modelo classificador — Revista Latino-Americana de Enfermagem, 2024. DOI: 10.1590/1518-8345.7131.4240

  11. Nursing workload: use of artificial intelligence to develop a classifier model — Revista Latino-Americana de Enfermagem, 2024. DOI: 10.1590/1518-8345.7131.4239

  12. COVID-19 infection and medicines in pregnancy – a multinational electronic health records/registry-based study — Report, 2023. DOI: 10.5281/ZENODO.10091496

  13. Effectiveness of homologous/heterologous booster COVID-19 vaccination schedules against severe illness in general population and clinical subgroups in three European countries — Vaccine, 2023. DOI: 10.1016/j.vaccine.2023.10.011

  14. Covid Vaccines Effectiveness (CoVE): Effectiveness of heterologous and booster COVID-19 vaccination in 5 European countries — Report, 2023. DOI: 10.5281/ZENODO.7858776

  15. Ontology for Healthcare Artificial Intelligence Privacy in Brazil — Preprint, 2023. DOI: 10.48550/ARXIV.2304.07889

  16. Coronavirus disease 2019 (COVID-19) transmission events in school staff in a Brazilian prospective cohort — Infection Control & Hospital Epidemiology, 2022. DOI: 10.1017/ice.2021.255

  17. Using Machine Learning to Reduce Burden on Infection Control Staff — NEJM Catalyst, 2022. DOI: 10.1056/cat.22.0071

  18. Automated healthcare-associated infection surveillance using an artificial intelligence algorithm — Infection Prevention in Practice, 2021. DOI: 10.1016/j.infpip.2021.100167

  19. Biobanco Covid-19 — Dataset, 2020. DOI: 10.22491/hcpa-biobanco

  20. Antimicrobial stewardship: The influence of behavioral nudging on renal-function–based appropriateness of dosing — Infection Control & Hospital Epidemiology, 2020. DOI: 10.1017/ice.2020.253

  21. Big Data Analytics in a Public General Hospital — Lecture Notes in Computer Science, 2016. DOI: 10.1007/978-3-319-51469-7_38

Teaching and Supervision

Teaching Data Science and Engineering since 2015 as part of my actions towards the "He For She" collaboration, aiming to bring women to STEM at UFRGS (public university).

Supervising PhD and Master students to achieve great results in their fields. A proud example is my partnership with Profa. Ninon, a former supervised student who went on to build a strong academic career — a concrete outcome of the commitment to bring talented women into data science and research.

At UMC Utrecht, this same commitment continues. Working alongside exceptional women in data science, biostatistics, and clinical research has been one of the most rewarding aspects of my role there, reinforcing that diversity in science is not only a value but a driver of better results.

If you need additional information about accomplishments from my resume, we can have a coffee or a nice talk by DM on Twitter: @tiagoandresvaz

Updated on 2026-05-05
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