Member Directory · AfriClimate AI

Amal Nammouchi

Tunisia

Karlstad University, Sweden

Amal is currently pursuing a PhD in the intersection of Energy and AI, looking into building optimal, scalable and explainable energy management systems for microgrids and renewable energy communities. She was previously the chair of IEEE SUPCOM SB and currently the chairing the Application and Selection committee of the deep learning indaba 2024. Amal was the winner of the prestigious MIT Energy and Climate Hack, alongside other awards directly or indirectly related to climate change and AI for social benefits.

Abdou Mohamed Naira

Comoros

Institut National de Statistique et d'Economie Appliquée

Redouane Lguensat

Morocco

Institut Pierre-Simon Laplace (IPSL) and Institut de Recherche pour le Développement (IRD)

I am a Research Engineer (permanent staff) at the climate modeling center of IPSL in Sorbonne Unviersité (Paris). I work on ML for climate modeling.

Tuntufye Mwanyongo

Malawi

FemAnalytica

I am a passionate and enthusiastic Data scientist with experience and interest in applying AI in domains like Climate and health.

Ada Kibet

Kenya

Atlas AI

Industry geospatial data scientist committed to continuous learning through an advanced degree in Computer Science

AFOLA Kossi Mawouena Samuel

Togo

African Institute for Mathematical Sciences (AIMS)

I am Kossi Mawouena Samuel Afola, a Togolese national with a strong academic and professional background in the sciences, particularly in physics and mathematical sciences. My academic journey includes a Bachelor of Science in Physical Sciences from the University of Lome, Togo, and a Master of Science in Mathematical Sciences from the African Institute for Mathematical Sciences in Accra, Ghana.

Aisha Alaagib

Sudan

ML researcher

Pape Malick DIOP

Senegal

I am a MSc. student in AI and Data Engineering in Senegal. I am very interested in harnessing the power of AI for a sustainable, prosperous and climate-resilient Africa. Happy to have discovered you at the Deep Learning Indaba 2024

Deborah Arthur

Ghana

AI Ghana

Deborah Arthur is a data analyst and the vice- president and co-founder of AI Ghana. She is the country ambassador for Zindi Africa. Deborah is passionate about machine and artificial intelligence to enhance the customer experience and improve inventory management Her passion also lies in women advocacy and community development where she contiually contribute to the development of some tech communities in Ghana and beyond. Deborah is also a member of the Django US programs community.

Mohamadou A. Diallo

Senegal

Institute of Climate and Energy Systems, Stratosphere

Born and educated in Senegal, Mohamadou (Moha) pursued his undergraduate and graduate studies in Maths and physics in France, at the University of Aix-Marseille. In 2013, Moha obtained his PhD at the Laboratoire de Météorologie Dynamique in France on the subject of variability and trends in the stratospheric circulation. For his studies he used a combination of reanalysis-driven Lagrangian models, climate models, and observations. After his PhD, he extended his experience with post-docs in the US, Spain, and Germany and worked on stratosphere-troposphere dynamical coupling, in particular the application of data science and machine learning to understand upper tropospheric and lower stratospheric processes. As part of his work as research scientist at the FZJ, Moha is responsible for APARC’s scientific outreach with the goals to foster partnerships between early-, mid-career, and established scientists in the Global South and North, data accessibility, public awareness, and capacity building. As part of this vision, Moha will take a lead in organising APARC training activities for early career scientists from both the Global South and North.

Doug Miller

USA

Energy Peace Partners + Zero Labs

Doug Miller is a systems entrepreneur with over a decade of experience in clean energy markets, business model innovation, behavioral design, and open-source web3 technology.

Currently, at nonprofit

Energy Peace Partners

⁠

, Doug leads the development of the global market for "Peace Renewable Energy Credits" to deliver catalytic private sector finance to scale access to renewables in fragile countries. He co-founded and serves as Strategic Partnerships Lead at the climate software startup

Zero Labs

⁠

, which offers digital renewables as a service to help companies power their operations and value chains with renewables and prove it with deep traceability. Previously, Doug developed and led numerous industry-shaping initiatives, publications, and tools in his roles at leading nonprofits RMI, Energy Web, and Clean Energy Buyers Alliance.

Doug holds degrees with top honors from Imperial College London and the University of Pennsylvania with numerous academic awards for his research about applying behavioral science to increase the adoption of climate solutions.

Sabrina Amrouche

Algeria

ZYTLYN

I am leading the data science activities at ZYTLYN. I help build models to forecast the demand in the travel industry using various data sources.

Wisdom Mdumiseni Dlamini

Eswatini

Centre for Climate Change and Sustainability Research, University of Eswatini

I am an environmental scientist and computational geographer with research interests and experience in a wide variety of scientific and management areas such as environmental science, climate science, ecology, remote sensing, and geographic information systems. I am particularly interested in machine learning/,AI applications, particularly in applied remote sensing, geospatial and ecological modeling and human-environment interactions.

James Kashoborozi

Uganda

Odewale Abayomi

Nigeria

Henri-Count Evans

Eswatini

University of Eswatini/University of Limpopo

Santiago Hincapie Potes

Colombia

Google Research

I am a research engineer in the Google Research Accra Team, in particular I’m part of the

AI and Social Good team

⁠

. Currently I’m working on weather modelling for the global south.

Phyllis Nabangi

Uganda

Carnegie Mellon University Africa

I am currently a final year student at Carnegie Mellon University Africa pursuing Master of Science in Information Technology with a concentration in Data Science and Applied Machine Learning.

Foutse Yuehgoh

Cameroon

CNAM

I am a PhD student specializing in recommendation systems. I am deeply engaged in advancing the fields of Natural Language Processing (NLP) and graph theory. Concurrently, I contribute to 'HydroAs', a project aimed at combating flood-related challenges. HydroAs endeavors to predict flooding events in advance by integrating traditional hydrological models with innovative AI techniques. This interdisciplinary approach reflects my commitment to applying cutting-edge research to address critical environmental issues.

Peniel Adounkpe

Benin

Stephen Kalyesubula

Uganda

Makerere University

Stephen Kalyesubula, currently pursuing an M.Sc. in Computer Science from Makerere University, masterfully integrates skills in data analysis, embedded system design, IoT, and robotics to advance innovative solutions in health and agriculture. Proficient in tools such as PowerBI and Tableau, Stephen's data analytics expertise is both vast and versatile. His deep passion for AI, underpinned by specialized skills in computer vision and image processing, has driven him to spearhead transformative projects, including medical imaging for lung cancer detection using deep learning and crop differentiation with UAV drone imagery. As a distinguished Google DeepMind Scholar, Stephen's commitment transcends academia. His passion for AI4Health and AI4Agriculture is evident in his consistent efforts to push technological boundaries in digital innovations and database systems.

Ibrahim Salihu Yusuf

Nigeria

InstaDeep

Ibrahim is an AI Research Engineer and a member of the AI for Social Good (AI4SG) Team at InstaDeep. He is passionate about utilizing AI for the betterment of humanity and has expertise in geo-spatial machine learning, computer vision and computational biology. Ibrahim's portfolio showcases projects ranging from enhancing food security and disaster response to advancing immunology research and development.

Mouhamadou Bamba Sylla

Sengal

Dr Mouhamadou Bamba Sylla is the Research Chair in Climate Change Science at the African Institute for Mathematical Sciences based in Kigali, Rwanda. Prior to this, he was the director of research and the senior scientist in climate modeling and climate change at the WASCAL Competence Center, Ouagadougou, Burkina Faso. There, he was also the head of the climate change and climate variability research cluster and acting coordinator of observation networks. Dr Sylla completed a postdoc at the International Centre for Theoretical Physics, Trieste, Italy and he was a research scholar and lecturer at Loyola Marymount University, Los Angeles, USA.

Brian Halubanza

Zambia

University of Zambia

Brian Halubanza is a PhD candidate in Computer Science at the University of Zambia and works as a lecturer in the School of Science, Engineering and Technology at Mulungushi University, Zambia. His research interests centre around Artificial Intelligence and other emerging technologies such as Internet of Things (IoT), Geospatial, and cloud computing technologies. His current research looks at the design of a framework for an early warning system for the management of the spread of Locust invasion in Zambia based on Artificial Intelligence and other emerging technologies. Holding a Bachelor of Science in Computer Science from Copperbelt University and a Master of Science in Information Technology Management from Binary University of Management and Entrepreneurship, Malaysia, he remains dedicated to integrating theory and practice, and works under the supervision of Dr. Jackson Phiri, PhD and Professor Phillip O.Y Nkunika.

FOKAM NINYIM ASTRIDE MELVIN

CAMEROON

Stellenbosch university

I am a passionate, curious, and creative data scientist, specializing in data analysis, statistical modeling, and machine learning. I have a strong foundation in statistics, calculus, and machine learning fundamentals. I am proficient in programming languages such as Python,c++,R and ROS, as well as common libraries like TensorFlow, scikit-learn, Keras, pandas, and NumPy for data analysis, data manipulation, data visualization, and modeling. I also have an understanding of machine learning techniques, including classification, regression, clustering, natural language processing, computer vision, and robotics.I possess the ability to systematically analyze problems and propose solutions based on trends, patterns, and relationships. I can interpret results and effectively communicate their conclusions. Additionally, I am a skilled communicator and a team player, capable of working in multidisciplinary teams and making complex concepts accessible to diverse audiences

Rendani Mbuvha

South Africa

University of Witwatersrand and Queen Mary University of London

I am currently the DeepMind Academic Fellow in Machine Learning in the School of Electrical Engineering and Computer Science at the Queen Mary University of London and an Associate Professor in Actuarial Science at the University of Witwatersrand.

Njogu

Kenya

ACWICT

Lead Trainer Data science & Analytics/Mentor

Sodiq Jinad

Nigeria

Data Scientist Network

Fadepo Joshua Tobi

Nigeria

John Bagiliko

Ghana

University of Rwanda, African Institute for Mathematical Sciences

John Bagiliko is the president and co-founder of AI Ghana. He is also a Ph.D. student at the University of Rwanda. He is passionate about using data, statistics, data science, machine learning, and artificial intelligence to help African rainfed farmers. His current research is around improving satellite rainfall estimates in the African rainfed setting. John is also passionate about community development, and served as the country ambassador of Zindi in Ghana from 2020 to 2022 and helped in building vibrant data science and AI communities in Ghana including AI Ghana.

KENNEDY KAMANDE

Kenya

The United Nations

Kennedy is a passionate Environmental and Climate Diplomacy Expert, Digital Champion, Columnist, Researcher and a Youth Leader, dedicated to shaping a resilient, data-literate, climate-conscious, and a digitally empowered future for all.

Bernardin LIGAN

Benin

University Mohammed VI Polytechnic (UM6P)

I'm a Phd Student at UM6P in Morocco where I'm working on computer vision and Hyperspectral Imaging.

Eric D. Ofosu-Hene

Ghana

De Montfort University

Ditiro Rampate

Botswana

SisonkeBiotik, Omdena Inc.

passionate individual using data science for societal challenges

Omeiza Olumoye

Nigeria

Michigan State University

Cesilia Mambile

Tanzania

University of Dododma

PhD Candidate at Nelson Mandela African Institution of Science and Technology, Investigator Artificial intelligence, Climate Change

Mulugeta Getachew

Ethiopia

Addis Abeba Science and Technology University

I am study Mechatronics in Addis Abeba Science and Technology University (AASTU)

Sarah Traoré Kané

Côte d’Ivoire

The University of Texas at Austin

I am a water resources engineer and currently PhD student interested in the adaptive capacity of African institutions to cope with extreme weather events like flood and heat.

Abdulsalam Odofin-Kamorudeen

Nigeria

Southern Illinois University, Edwardsville

I am an undergraduate student in Physics and Computer Science

Cyrilla Ahmed MIDINGOYI

BENIN

CIRAD - METEO BENIN

I’m crop modeling Lab. manager at CIRAD. I create and maintain a community of practices in crop modeling. I worked at METEO BENIN as agro climatologist.

Eldad Antwi-Bekoe

Ghana

Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED)

I hold a Ph.D. in computer science with a specialization in computer vision. I worked with the Trusted Cloud Computing and Big Data Engineering Laboratory of the University of Electronic Science and Technology of China. Prior to my Ph.D., I gained a master’s degree in computing and I.T. at the University of Bedfordshire, UK. After my Master’s degree, I gained my first employment experience with Exchange Data International at London, UK. I have successfully played lead author roles in SCI journal and EI conference publications, contributed to peer reviewed AI book and presented research papers at international conferences. I am currently employed as an I.T. lecturer with over 12 years of teaching experience at AAMUSTED in Ghana. I appreciate the value of diversity. My passion for AI is driven by the belief that AI has a potential to revolutionize the way we interact with technology for the good of society.

UBONG CAMILUS BEN

UNIVERSITY OF CALABAR

Ubong is a graduate researcher at University of Calabar, Nigeria. He is passionate about achieving a sustainable African environment. He is passionate about data science, applied machine learning and artificial intelligence. He has been deeply involved in research bordering around earthquake and landslide vulnerability and remediation as well as climate change precursor modelling. He actively participates in grassroot campaigns promoting migration towards clean energy in local households. Apart from looking for opportunities to sharpen and better his skills, Ubong is looking for PhD opportunities in the area of climate change and renewable energy.

Dauda Jeffrey

Nigeria

African Leadership University

Jeffrey is a final-year Software Engineering undergrad at ALU in Rwanda, and he is passionate about the Application of Machine Learning with Sustainability.

Erica Kimei

Tanzania

Nelson Mandela African Institution of Science and Technology

Erica Kimei is a PhD candidate at the Nelson Mandela African Institution of Science and Technology in Tanzania (NM-AIST). She holds a Master's degree in Information and Communication Science and Engineering with a specialization in Information Technology Systems Development and Management from NM-AIST, as well as a Bachelor's degree in Information Technology from the Stefano Moshi Memorial University College (SMMUCo). In addition to her studies, she works as an assistant lecturer at the National Institute of Transport. Erica's research interests include Artificial Intelligence, Machine Learning, Information Systems, Mobile Apps, and the Internet of Things, with a focus on using these technologies to address societal and industrial challenges. Her current PhD research aims to leverage Machine Learning and Remote Sensing technology to detect, quantify, and forecast greenhouse gas emissions from livestock farms. Erica has been awarded a partial scholarship for the 2022/2023 and 2023/2024 academic years from the AI4D (Artificial Intelligence for Development) Africa’s Anglophone Multidisciplinary Research Lab Ph.D. program

Lionel Cedric Gohouede

Benin

⁠

African Institute for Mathematical Sciences

⁠

I can contribute to research in hydrological modeling, forecasting extreme hydrological events, and climate and weather prediction using AI.

Alban OUEDRAOGO

Burkina Faso

Zindi Burkina Faso

Alban is the passionate about data science and AI. He thinks that AI is a great opportunity to solve Africa’s main challenges.

ROQEEB AKANBI

NIGERIA

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Youness Abboubi

Morocco

MOROCCAN DATA SCIENTISTS

I’m Youness Abboubi, industrial engineering student, public relations manager at MOROCCAN DATA SCIENTISTS

Yassine Yaakoubi

Tunisia

McGill University

I am an IVADO-COSMO Postdoctoral Fellow at McGill University, interested in optimization & machine learning for decision-making in large-scale and/or stochastic settings, sustainable development, AI for social good, and climate-research to climate-action pipelines.