Tejumade Afonja
Doctoral Researcher at CISPA Helmholtz Center for Information Security
Germany
Summary
🤩
Rockstar🎓
Top SchoolTejumade Afonja is a doctoral researcher at CISPA with nine years of experience at the intersection of AI, privacy, and community-driven impact, currently researching privacy-preserving synthetic tabular data generation. She combines academic rigor (PhD work at Universität des Saarlandes and publications visible on Google Scholar) with hands-on ML engineering, including contributions to the well-known CleverHans adversarial example library and practical familiarity with PyTorch and TensorFlow. As founder and director of TRI AI and co-founder of AI Saturdays Lagos, she has scaled grassroots AI education across Africa—building datasets like CHOWNET and SautiDB and delivering free cohorts to over 1,000 participants. Her background spans industry research stints (Vector Institute, InstaDeep) and applied engineering, giving her a rare blend of privacy/security research, open-source credibility, and community leadership. An interesting thread through her work is translating cutting-edge adversarial/privacy research into accessible tools and datasets that support local AI ecosystems.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Ladoke Akintola University of TechnologyDoctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at Universität des Saarlandes
English, Yoruba, German
Github Skills (10)
machine-learning10
datasets10
tensorflow9
pytorch9
benchmark8
benchmarking8
faster-rcnn8
mask-rcnn8
python8
security7
Programming languages (8)
Github contributions (5)
cleverhans-lab/cleverhans
Mar 2021 - Mar 2021
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Role in this project:
ML Engineer
ML EngineerContributions:2 reviews, 12 commits, 7 PRs in 6 days
Contributions summary:Tejumade primarily focused on the MNIST dataset within the CleverHans library. They addressed a reliability issue by switching the MNIST dataset mirror to a more stable Google Cloud Storage URL. Further contributions included a merge, as well as formatting changes to comply with the black code style. The user demonstrates familiarity with PyTorch and TensorFlow, as shown by the tutorials and dataset usage.
benchmarkingrobustnessadversarial-machine-learningsecurityadversarial
AISaturdaysLagos/cohort_structure
Aug 2021 - Jan 2022
This repository contains detailed information about the structure of AI Saturdays Lagos Cohort.
Contributions:1 review, 21 commits, 8 PRs in 5 months
artificial-intelligencedata-sciencemachine-learning
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