Deep Learning Indaba reposted this
UP ABSA Chair of Data Science: University of Pretoria, Co-Founder: Lelapa AI, Co-Founder Deep Learning Indaba &Masakhane NLP. Interest in Data Science, Natural Language Processing & AI in general
Honoured to finally share this news. Last night, I had the profound privilege of receiving the Exceptional Young Researcher Award at the University of Pretoria ’s research awards. It’s an honour that reflects not just my journey, but the journey of so many remarkable people who have stood by me, lifted me up, and inspired me every step of the way. To my family, friends, and each of you who have walked this path with me—thank you. Your support has been my foundation, and I am endlessly grateful. I am especially indebted to the incredible team at the Data Science for Social Impact (DSFSI) lab, past and present members, who have poured their time, effort, and passion into advancing our research and creating real, lasting impact. Research is truly a collective endeavour, and each of you has contributed a vital piece to the work we do together. I am profoundly thankful for your dedication and camaraderie. My heartfelt gratitude also extends to our partners/collaborators at Lelapa AI, Masakhane, Deep Learning Indaba, the Data Science Law Lab, and so many others who have joined forces with us. Together, we are working to shine a light on African Machine Learning, AI, and Data Science—harnessing these fields to address the challenges that matter most to our communities. By focusing on solutions for our society, we’re building a legacy that I am proud to be part of. A special thanks to the Absa Group—Gavin Cope, Anna Nascimento, Christine Wu, and their entire team—who have championed our vision through the ABSA UP Chair of Data Science. Your belief in us has been invaluable. And to the UP Faculty of Engineering, Built Environment and Information Technology and to all the University of Pretoria staff who work with us, thank you for fostering an environment where innovation and purpose intersect. Though we’ve achieved so much together, I know there is still so much more to accomplish. I look forward to what lies ahead as we continue to push boundaries, create solutions, and work towards a brighter future for us all. We look forward in the next few months sharing what we have bene working on in 2024/2025 #OnwardsUpwards #AfricanMachineLearning