Foutse Yuehgoh
Cameroon
Disaster Management
Climate Prediction
Weather Nowcasting and Forecasting
Hydrology
Applied ML for Sustainability
Community Governance
Natural Hazards and Vulnerability
Agriculture and Food Security
Biodiversity
Energy
Remote Sensing
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.
brainstorm toward collaborative academic paper writing
conference organizations
Njogu
Kenya
Agriculture and Food Security
Climate Prediction
Applied ML for Sustainability
Community Governance
Disaster Management
Weather Nowcasting and Forecasting
ACWICT
develop new community activities
Santiago Hincapie Potes
Colombia
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Natural Hazards and Vulnerability
Disaster Management
Biodiversity
Applied ML for Sustainability
Google Research
I’m more a technical person, so I prefer to get my hand dirty on the research, I can also mentor some members (mainly on ML-releated stuff).
I can also help on fundraise (I can probably get some compute and EE), and help connecting with speakers
Peniel Adounkpe
Benin
Hydrology
Natural Hazards and Vulnerability
brainstorm toward collaborative academic paper writing
Phyllis Nabangi
Uganda
Agriculture and Food Security
Climate Prediction
Disaster Management
Applied ML for Sustainability
Graduate Student
Research
Stephen Kalyesubula
Uganda
Applied ML for Sustainability
Weather Nowcasting and Forecasting
Climate Prediction
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.
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AFOLA Kossi Mawouena Samuel
Togo
Agriculture and Food Security
Community Governance
Applied ML for Sustainability
Biodiversity
Climate Prediction
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.
My professional experiences are diverse and include significant contributions in both educational and technological fields. I have taught physical science at the high school level and have been actively involved in AI training with CoTIA (Communauté Togolaise de l’Intelligence Artificielle), where I contribute to building a tech-savvy community. Additionally, I have taken on leadership roles such as serving as Zindi’s ambassador to Togo, spearheading the Togo Data Science Community Forum.
My technical skills are extensive, with proficiency in programming languages like Python, experience in graph neural networks, and expertise in quantum field theory, as evidenced by my work on the Lehmann–Symanzik–Zimmerman (LSZ) reduction formula. I have also applied my skills to healthcare, focusing on machine learning in clinical prediction models, particularly for cardiovascular risk prediction.
In addition to my professional and academic pursuits, I am actively engaged in the broader scientific community, as demonstrated by my participation in conferences like the Deep Learning Indaba and the Ghana School of Mathematical Modeling.
Fluency in both English and French, coupled with my interpersonal skills and ability to communicate effectively, enhances my versatility and capacity to operate in diverse environments.
My journey is marked by a continuous pursuit of knowledge and a commitment to applying my skills for the betterment of society, particularly in the fields of education, technology, and healthcare.
In the area of volunteering, I am actively involved in social work, including teaching mathematics and motivating students to develop an interest in mathematical sciences, as well as participating in clean-up exercises. This engagement is under the supervision of the AIMS Ghana MasterCard Foundation, demonstrating my commitment to educational and community service initiatives.
Sabrina Amrouche
Algeria
Weather Nowcasting and Forecasting
Climate Prediction
Remote Sensing
Agriculture and Food Security
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.
brainstorm toward collaborative academic paper writing
Seminars, collaborative research
John Bagiliko
Ghana
Agriculture and Food Security
Climate Prediction
Applied ML for Sustainability
Natural Hazards and Vulnerability
Hydrology
Remote Sensing
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.
brainstorm toward collaborative academic paper writing
I can volunteer on conference organization, collaborative research work
UBONG CAMILUS BEN
Climate Prediction
Natural Hazards and Vulnerability
Applied ML for Sustainability
Community Governance
Disaster Management
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.
Seminar/Conference Organization, Grassroot Education, Research collaboration
Omeiza Olumoye
Nigeria
Remote Sensing
Agriculture and Food Security
Climate Prediction
Weather Nowcasting and Forecasting
Applied ML for Sustainability
Michigan State University
Cesilia Mambile
Tanzania
Climate Prediction
Natural Hazards and Vulnerability
Disaster Management
Biodiversity
University of Dododma
PhD Candidate at Nelson Mandela African Institution of Science and Technology, Investigator Artificial intelligence, Climate Change
any year
Mulugeta Getachew
Ethiopia
Agriculture and Food Security
Energy
Applied ML for Sustainability
Remote Sensing
Addis Abeba Science and Technology University
I am study Mechatronics in Addis Abeba Science and Technology University (AASTU)
Bernardin LIGAN
Benin
Agriculture and Food Security
Remote Sensing
Disaster Management
Applied ML for Sustainability
University Mohammed VI Polytechnic (UM6P)
I'm a Phd Student at UM6P in Morocco where I'm working on computer vision and Hyperspectral Imaging.
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Wisdom Mdumiseni Dlamini
Eswatini
Agriculture and Food Security
Climate Prediction
Natural Hazards and Vulnerability
Remote Sensing
Disaster Management
Biodiversity
Applied ML for Sustainability
Weather Nowcasting and Forecasting
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.
Sarah Traoré Kané
Côte d’Ivoire
Natural Hazards and Vulnerability
Disaster Management
Hydrology
Community Governance
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.
brainstorm toward collaborative academic paper writing
Not sure yet
Ditiro Rampate
Botswana
Remote Sensing
Agriculture and Food Security
Biodiversity
SisonkeBiotik, Omdena Inc.
passionate individual using data science for societal challenges
Deborah Arthur
Ghana
Climate Prediction
Remote Sensing
Community Governance
Weather Nowcasting and Forecasting
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.
develop new community activities
Tuntufye Mwanyongo
Malawi
Applied ML for Sustainability
Disaster Management
Climate Prediction
Agriculture and Food Security
Weather Nowcasting and Forecasting
FemAnalytica
I am a passionate and enthusiastic Data scientist with experience and interest in applying AI in domains like Climate and health.
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Youness Abboubi
Morocco
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Natural Hazards and Vulnerability
Disaster Management
Remote Sensing
Energy
Biodiversity
Hydrology
Community Governance
I’m Youness Abboubi, industrial engineering student, public relations manager at MOROCCAN DATA SCIENTISTS
develop new community activities
Odewale Abayomi
Nigeria
Hydrology
Applied ML for Sustainability
Remote Sensing
Disaster Management
Energy
Biodiversity
brainstorm toward collaborative academic paper writing
Doug Miller
USA
Energy
Biodiversity
Applied ML for Sustainability
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 , 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 , 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.
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Sodiq Jinad
Nigeria
Climate Prediction
Applied ML for Sustainability
Biodiversity
Weather Nowcasting and Forecasting
Community Governance
Data Scientist Network
Climate action, SDGs, Machine learning
Aisha Alaagib
Sudan
Remote Sensing
Applied ML for Sustainability
ML researcher
brainstorm toward collaborative academic paper writing
Abdiqani
Somalia
Remote Sensing
Climate Prediction
Applied ML for Sustainability
Disaster Management
Climate change AI
Jean-eudes Dalmeida
Ghana
Agriculture and Food Security
Remote Sensing
Hydrology
Applied ML for Sustainability
Data driven agriculture
Kwabena Obeng
Ghana
Applied ML for Sustainability
Climate Prediction
Remote Sensing
Weather Nowcasting and Forecasting
Kwabena Obeng is a passionate student developer with a strong focus on data science and software engineering. I thrive on solving complex problems and am currently working on a project to build a language model that matches mentors and mentees based on their programming stack, using LangChain, HuggingFace, and Gemini. This endeavor allows me to blend my technical skills with my desire to create meaningful, impactful solutions. In addition to language models, I also enjoy working on predictive modeling projects, where I can leverage my analytical skills to forecast trends and drive data-driven decision-making.
Melkamu
Ethiopia
Agriculture and Food Security
Ethiopian Institute of Agricultural Research
Benard
Kenya
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Community Governance
Applied ML for Sustainability
Energy
Am a Kenya resident
Agriculture and food security
Mohamadou A. Diallo
Senegal
Climate Prediction
Weather Nowcasting and Forecasting
Applied ML for Sustainability
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.
AI & ML for Climate and Weather research (training & mentoring)
Cyrilla Ahmed MIDINGOYI
BENIN
Agriculture and Food Security
Climate Prediction
Remote Sensing
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.
develop new community activities
Brenda Cheyech
Kenya
Climate Prediction
Remote Sensing
Applied ML for Sustainability
I am a Data Analyst with a background in Climate Change and Development.
Climate AI
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ROQEEB AKANBI
NIGERIA
Weather Nowcasting and Forecasting
Climate Prediction
Natural Hazards and Vulnerability
Energy
Biodiversity
Applied ML for Sustainability
Community Governance
Disaster Management
DATA SCIENCE, MACHINE LEARNING
Erica Kimei
Tanzania
Remote Sensing
Climate Prediction
Weather Nowcasting and Forecasting
Applied ML for Sustainability
Biodiversity
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
brainstorm toward collaborative academic paper writing
FOKAM NINYIM ASTRIDE MELVIN
CAMEROON
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Biodiversity
Applied ML for Sustainability
Hydrology
Natural Hazards and Vulnerability
Remote Sensing
Disaster Management
Energy
Community Governance
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
brainstorm toward collaborative academic paper writing
conference organizations
FOKAM NINYIM ASTRIDE MELVIN
Cameroon
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Natural Hazards and Vulnerability
Remote Sensing
Disaster Management
Energy
Biodiversity
Hydrology
Applied ML for Sustainability
Community Governance
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
brainstorm toward collaborative academic paper writing
conference organisation
FOKAM NINYIM ASTRIDE MELVIN
Cameroon
Agriculture and Food Security
Weather Nowcasting and Forecasting
Climate Prediction
Natural Hazards and Vulnerability
Remote Sensing
Disaster Management
Energy
Biodiversity
Hydrology
Applied ML for Sustainability
Community Governance
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
brainstorm toward collaborative academic paper writing
conference organisation
Pape Malick DIOP
Senegal
Climate Prediction
Energy
Applied ML for Sustainability
Weather Nowcasting and Forecasting
Remote Sensing
University Iba Der Thiam of Thies, 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