Vukosi Marivate

Panel Member - Independent International Scientific Panel On AI

Gauteng, South Africa
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Summary

👤
Senior
🎓
Top School
Vukosi Marivate is a Professor of Computer Science and the ABSA UP Chair of Data Science at the University of Pretoria, where he founded and now directs the African Institute for Data Science and Artificial Intelligence to advance AI tailored for African contexts. With 12+ years of experience, he combines deep research in NLP for low-resource African languages and applied data science for health, agriculture, and climate resilience with hands-on leadership of initiatives like Lelapa AI, Masakhane and the Deep Learning Indaba. He currently serves on international bodies including the UN Independent Scientific Panel on AI and the Partnership on AI, bridging local capacity building with global AI governance. An active open-source contributor, his dsfsi/covid19za work shows practical data-driven impact during crises, and his lab recently secured a $1M Google catalyst grant to scale African-led AI. Trained at Rutgers (PhD) with leadership development at Harvard Business School, he blends rigorous technical scholarship with entrepreneurial and policy influence to shape inclusive AI futures for the continent.
code12 years of coding experience
job21 years of employment as a software developer
bookMSc, Electrical Engineering, MSc, Electrical Engineering at University of the Witwatersrand
bookTsogo High School
bookProgram for Leadership Development, Business, Program for Leadership Development, Business at Harvard Business School
bookPhD, Computer Science, PhD, Computer Science at Rutgers University
bookHong Kong University of Science and Technology (HKUST)
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Github Skills (11)

vi10
data-wrangling10
data-visualizations10
pandas10
jupyter-notebook10
data-visualization10
data-visualisation10
python10
co10
covid-testing10
data-analysis10

Programming languages (10)

CSSMakefileSCSSScalaJavaScriptLuaHTMLJupyter Notebook

Github contributions (5)

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dsfsi/covid19za

Mar 2020 - Sep 2022

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
Role in this project:
userData Scientist
Contributions:1 review, 1086 commits, 333 PRs in 2 years 6 months
Contributions summary:Vukosi updated a notebook for per-province growth analysis, focusing on the visualization folder and creating a new notebook. They also updated a starter notebook with general data exploration including loading packages, exploring the data, performing conversions, and creating age group analysis. The contributions indicate a focus on data manipulation and analysis within the context of the COVID-19 data.
doincovdata-repositorydata-sciencehealth
dsfsi/dsfsi-datasets

May 2020 - Oct 2022

Contributions:14 commits, 21 pushes, 1 branch in 2 years 5 months
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