Tiago Vaz

Data Governance Lead

Utrecht, Utrecht, Netherlands
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Summary

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Top School
Tiago Vaz is a Data Governance Lead with 8+ years bridging computer science, epidemiology and enterprise data strategy across healthcare and consumer goods. He combines a PhD in Epidemiology and an MBA-like executive education with hands-on experience building scalable data pipelines, causal inference for real-world evidence, and governance frameworks for Data & AI at global scale. His background spans technical leadership roles—from building national hospital information systems and coordinating multi-country EHR evidence generation to improving forecasting at Kraft Heinz—showing a rare mix of delivery, policy and research impact. An active contributor to public health modelling (notably extending palliative care features in the widely used neherlab/covid19_scenarios project), he blends open-source development with rigorous validation and UI integration. Based in Utrecht, he is known for translating complex domain requirements into auditable, reproducible data products and for fostering cross-functional teams that accelerate responsible AI adoption.
code7 years of coding experience
job17 years of employment as a software developer
bookMBA Executive Business Management Marketing and Related Support Services, MBA Executive Business Management Marketing and Related Support Services at ESPM Escola Superior de Propaganda e Marketing
bookExecutive Education - Organizational Leadership - Leading Change and Organizational Renewal, Executive Education - Organizational Leadership - Leading Change and Organizational Renewal at Harvard Business School
bookBacharelado Computer Science, Bacharelado Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul
bookExecutive Certificate in Management and Leadership, Executive Certificate in Management and Leadership at MIT Sloan School of Management
bookPhD Epidemiologia, PhD Epidemiologia at Federal University of Rio Grande do Sul
bookEnglish for International Business, English for International Business at University of California, Riverside
languagesEnglish, Portuguese, Spanish
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Github Skills (15)

typescript10
javascript10
typescripts10
typescript-types10
react9
modello9
data-set8
data-model8
user-data8
modeling8
data-validation7
co7
covid-testing7
vi7
open-source7

Programming languages (3)

RustJavaScriptJupyter Notebook

Github contributions (5)

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neherlab/covid19_scenarios

Jul 2020 - Mar 2021

Models of COVID-19 outbreak trajectories and hospital demand
Role in this project:
userFull-stack Developer
Contributions:13 commits, 7 PRs, 10 comments in 7 months
Contributions summary:Tiago contributed to the project by implementing new features related to palliative care within the COVID-19 model. They modified the core model logic, adding palliative flux calculations and integrating these changes across multiple files, including the model definition, test data, initialization, and UI components. The user also updated the schema and validation rules to accommodate the new palliative care parameters, ensuring data integrity. Their work demonstrates a focus on extending the model's capabilities and improving its user interface.
hospitaldatancovoutbreakscience
Models of COVID-19 outbreak trajectories and hospital demand
Contributions:2 PRs, 172 pushes, 11 branches in 2 years 7 months
hospitaloutbreaktrajectoriesdemand
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