Me in a nutshell

I am a research fellow at the DAIR Institute. I use computer vision, data science, and machine learning techniques to explore research questions with a societal impact. My current research uses satellite imagery to study the legacy of spatial apartheid in South Africa. I hold a masters degree in computer science from the University of the Witwatersrand, and I am the co-founder of Women In Computational Science Research (WiCSR), a community that empowers and encourages women’s growth and participation in the computational sciences. My work has been the recipient of the best poster presentation prize at the 2018 Deep Learning Indaba, and I am also the recipient of the data science for social good fellowship and the Sasol Inzalo Foundation scholarship.

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2021 Highlights!

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Dec 2021
Deep Learning IndabaX South Africa

* Most Rigorous Researcher Award - Rewards outstanding contributions or a single outstanding contribution to machine learning research; a focus on impact for South Africa will be considered favourably.

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Dec 2021
Thirty-fifth Conference on Neural Information Processing Systems

* Paper got accepted at #NeurIPS2021 Datasets and Benchmarks Track! - Our work on Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa was published. We have also made this dataset available for research here.

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Aug 2021 - Present
Research Fellow at the DAIR Institute

* Joined The DAIR Institute! - My work involves analyzing the effects of spatial segregation over a period of time on satellite images using mainly using computer vision techniques and techniques from other disciplines.





2019 & 2020 Highlights!

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Oct 2020 - Jun 2021
Research Intern at Mila- Quebec AI Institute

* Humanitarian AI Group - My project focused on curating a ground truth dataset for poverty mapping in the urban parts of Nigeria and subsequently using that dataset to create more efficient data-oriented learning algorithms to estimate poverty using satellite images.

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Jun 2020 - Sep 2020
Data Scientist at the Data-Intensive Development Lab

* Joined the Data-Intensive Development Lab at UC Berkeley - Using Machine Learning and spatial datasets to build poverty estimation maps for the Nigerian Government to assist them to identify the poorest regions in Nigeria so that they can prioritize them for their COVID19 relief grants.

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Jun 2019
CVPR 2019

* Computer Vision for Global Challenges workshop Speaker at CVPR 2019 - Using satellite images and computer vision to study the evolution and effects of spatial apartheid in South Africa



2018 Highlights!

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Feb 2018 - Jul 2021
Computer Science Masters degree student- Wits University

Title:Using satellite images and computer vision to study the evolution and effects of spatial apartheid in South Africa

Advisors: Timnit Gebru(Google AI), Richard Klein(Wits University), Nyalleng Moorosi(Google AI)

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03 Dec 2018 - 08 Dec 2018
NeurIPS 2018

* AI for social good workshop oral and poster presentation **highlighted paper award.- Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia(->1)

* Black in AI workshop oral and poster presentation.- Using satellite images and computer vision to study the evolution and effects of spatial apartheid in South Africa(->2)

* Machine learning 4 the Developing World workshop poster presentation.(1)

* Women in Machine Learning workshop poster presentation.(2)

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09 Sep 2018 - 14 Sep 2018
Deep Learning Indaba

*Best poster presentation.- Using satellite images and computer vision to study the evolution and effects of spatial apartheid in South Africa

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28 May 2018 - 17 Aug 2018
Data Science For Social Good Fellowship, UChicago

* Recipient of the Data Science for Social Good fellowship at the University of Chicago.- A summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact.

Interest Scale

95%
Problem Solving
90%
Computer Vision
90%
Data and AI Alignment
90%
Social Good Applications

Click to get a pdf copy of my CV below

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