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The Yaoundé Team
Foutse is a Machine learning researcher, Co-founder of WPSYG, who likes to volunteer on data science-related projects. She holds two master’s degrees, one in Big data and Computer security from the African Institute for Mathematical Sciences (AIMS), Senegal, and another in information and data processing from the University of Paris Saclay, France. Currently a Data Analyst at Coexel, France, working mainly on NLP for news recommendation. “In vain have you acquired knowledge if you have not imparted it to others”. --Deuteronomy Rabbah. She aspires to inspire, hoping to have a positive impact in the field of NLP via solving or bringing new solutions to Cameroon in particular and Africa as a whole who is rich in a variety of languages and consequently to the world in general.
Volviane Saphir MFOGO
Saphir came from a mathematical and Computer science background from the University of Dschang in Cameroon. She is currently a student at the African Master in Machine Intelligence (AMMI), working toward an MSc in Machine Intelligence as sponsored by Facebook and Google. Before joining AMMI, she obtained an MSc. in Mathematics from African Institute for Mathematical Sciences (AIMS Cameroon). Moreover, Saphir is passionate about Artificial Intelligence (AI) and how it can help our African Citizens save and improve our lives. She was invited to join AI Exponential Thinker and took the role of Ambassador in Cameroon and Ghana. AI Exponential Thinker is the unique Global Network platform of Trust where AI practitioners and AI Enthusiastics are spreading Artificial Intelligence to Everyone and Everywhere. She recently won a grant from Deep learning Indaba for a project which aims to build a medical AI assistant model that has potential to complement clinician’s diagnoses on radiologist images. Email her on email@example.com
Tatiana Ngoli Moteu
Tatiana Ngoli Moteu is currently a student at African Master in Machine Intelligence Ghana, a scholarship sponsored by Google and Facebook. She is interested in NLP more precisely in the co-referent resolution which is a task on which she would like to continue her research. she has a background in software engineering and in architecture and networks which are the fields studied at the University of Ngaoundere Cameroon. She believes in the fact that machine learning and data science can contribute to develop and improve African languages, which are still considered as under-resourced languages.
Edwige Carole FOSSO
Edwige is a Quantum Machine Learning researcher, who holds her first Master’s degree in Quantum Physics at Dschang University, West-Cameroon, and is pursuing the second in Machine Intelligence at African Master in Machine Intelligence (AMMI), AIMS-RWANDA. She likes to combine many domains to easily handle local challenges and improve our lives. On the other hand, she realizes that African countries don’t grow fast because most of the time they are not aware of the development and the enhancement of the technology and the current trend. Therefore, awakening the consciences of young Africans and inspiring them is her duty. Life taught her these beautiful
Sorelle Murielle Toukam Tchoumegne
Sorelle is a young passionate and energetic learner who finds her interest in areas of Artificial Intelligence(AI) and Machine Learning. She holds a Bachelor degree in Electrical Engineering from Cairo University in Egypt, and a Master’s degree in Mathematical Sciences from the African Institute for Mathematical Sciences in Ghana (AIMS Ghana). She looks forward to sharing her experiences as well as engaging with fellow Machine Learning enthusiasts, together to bring awareness of opportunities available in the field of AI.
Belona is an Ethics AI Enthusiast in Healthcare systems which is the field she would like to pursue a research career in. She can define herself as an applied computer scientist. She got her first master degree in computer science at the university of Ngaoundere( Cameroon). After she did a one year intensive master in Machine Learning at the African Institute for Mathematical Sciences of Rwanda. She strongly believes that Data science done in the right way can improve people's lives in general and healthcare systems in developing countries. Coming from a developing country (Cameroon) where the lack of resources and doctors at hospitals is crucial, she saw it as an opportunity to contribute to the solutions. You can email her on firstname.lastname@example.org
Michèle Flore YIMGA FONKOU
Michèle is a PhD student researcher in the field of Bioinformatics and Biostatistics at the University of Douala, Cameroon. Her work focuses on the development of Machine Learning methods for the accurate identification of plants in the field by a wide audience. Passionate about learning new technologies to solve complex social problems, she is therefore interested in Machine Learning and Data Science. So far self-taught in the field, her goal is to deepen her knowledge in these areas while sharing it with others. E-mail her on email@example.com
Lyse Naomi WAMBA
Lyse Naomi WAMBA is a research enthusiast with particular focus on AI applied to precision medicine, currently pursuing a Ph.D. at KU Leuven, Belgium (KUL). Prior to her doctoral studies, she earned a masters’ degree in mathematics and another one in statistics from the University of Buea, Cameroon and KUL, respectively, during which she successively volunteered as a mathematics tutor for bachelors and masters’ students. Lyse Naomi has as utmost and particular interest, the assessment of the potential benefits of AI for precision agriculture in her country, Cameroon and Africa as a whole, to help combat the high rates of famine. From her internships and data-science related competitions, Lyse Naomi has gathered strong teamwork skills, which enable her to spread the good news of AI and machine learning to her fellow ones.
Yolande holds a Master’s in Mathematical Sciences from the African Institute for Mathematical Sciences (AIMS) Ghana. Prior to AIMS, she obtained her Bachelor of Science degree in Mathematics and Computer Science from the University of Buea, Cameroon. She is also the ambassador of AI Exponential Thinker - a non-profit organisation whose vision is to spread Artificial Intelligence to design a sustainable future for all. Yolande is interested in leveraging Artificial Intelligence to tackle agricultural challenges in Africa and the world at large.
Marianne ABEMGNIGNI NJIFON
Marianne is currently a PhD student at the University of Göttingen who hold a Master’s in Fundamental Mechanics from the University of Yaoundé I (Cameroon) and has interests in theoretical Machine Learning, especially regularization and robustness. She completed a one-year intensive Master's in Mathematical Sciences (AIMS Cameroon), a one-year intensive Master's in Machine Learning (AMMI Rwanda), and is now working on Modelling and Inference for Spatial Data. She looks forward to bringing a valuable and impactful contribution to both fundamental and applied Machine Learning for the growth of developing countries in particular and Science in General. Please feel to email to her (firstname.lastname@example.org).