• Africa Women in Data Science 2022
• About WDS 2022
• Programme: Plenary 8 March
• Speakers
  • Potlako Makua
  • Kathleen Siminyu
  • Gugulethu Mabuza-Hocquet
  • Araba Sey
  • Cherise Dunn
  • Kagonya Awori
  • Anelda Van der Walt
  • Caroline Zabarowski
  • Celia Cintas
  • Nebiha Shafi
  • Fanamby Randriamahenintsoa
  • Zafiirah Hosenie
  • Nikhita Madhanpall
  • Christine de Kock
• Programme: Hackathon 9-10 March

Kathleen Siminyu

Kathleen Siminyu is an AI Researcher who has focused on Natural Language Processing (NLP) for African Languages. She works at Mozilla Foundation as a Machine Learning Fellow to support the development of a Kiswahili Common Voice dataset and to build speech transcription models for end-use cases in the agricultural and financial domains. In her NLP research Kathleen has previously worked on speech transcription for Luhya languages and contributed to machine translation for Kenyan languages as part of Masakhane. Before joining Mozilla, Kathleen was Regional Coordinator of Artificial Intelligence For Development Africa (AI4Dev Africa), where she worked with Machine Learning (ML) and AI communities in Africa to run various programs.