Dr. Evans Manu is a distinguished Hydrogeologist, Geophysicist, and Data Scientist with over 12 years of progressive experience in groundwater flow modeling, hydrogeochemical processes, and aquifer system analysis. He earned his Ph.D. in Hydrogeology from the University of Potsdam, Germany, with a focus on the geochemical evolution and quality of natural waters. His work strategically integrates advanced data science and machine learning techniques with traditional hydrogeological methods to inform sustainable groundwater management. Dr. Manu has held research and consulting positions in Ghana, Nigeria, and Germany, including at the GFZ German Research Centre for Geosciences, contributing to high-impact environmental and water resource projects. Proficient in tools such as MODFLOW, PHREEQC, ArcGIS, and Python, he develops robust modeling frameworks for groundwater prediction, contamination assessment, and resource planning. He has authored publications in reputable international journals, and his interdisciplinary approach enables innovative, data-driven solutions to complex hydrological and environmental challenges.

Ebo Edonu is a seasoned data and model implementation expert, currently serving as Vice President – Quant Analytics Manager at JPMorgan Chase, USA. With over a decade of experience, he leads the development of advanced forecasting models for deposit balances, and revenue within Consumer and Business Banking. Ebo collaborates with cross-functional teams to implement robust, data-driven solutions on big data platforms. Previously, he worked as an AML/KYC Data Analyst, enhancing regulatory compliance across banking segments. He holds advanced degrees in Applied Data Science and Information Technology, and a bachelor’s degree in Physics. Ebo also holds industry certifications and is skilled in multiple programming languages. A strong advocate for service, he participated in the JPMC Executive Service Corps in South Africa. He lives in Columbus, Ohio, and actively volunteers with local nonprofits.

Dr. Evelyn Asante-Yeboah is a passionate Landscape Ecologist with expertise in Geo-Information Science, land-use modeling, socio-ecological systems, and ecosystem services assessments. With a Ph.D. in Sustainable Landscape Development from the Martin Luther University-Halle Wittenberg, Germany, she specializes in spatial analysis, stakeholder engagement, and policy-driven environmental solutions. Dr. Asante-Yeboah has contributed to international research projects, leveraging innovative tools like Agent-Based Modeling, Python, R, and open-source GIS tools to drive sustainable landscape management. She is dedicated to bridging the gap between science and practice and fostering resilient landscapes and communities.

Dr. Edward Korveh is a Lecturer at the Department of Mathematics, University of Ghana, with a PhD in Mathematics (Stochastic Optimal Control) from the University of Ghana and AIMS Ghana. He holds a double MSc in Complex Systems Science from the University of Warwick (UK) and Chalmers University of Technology (Sweden), an MSc in Mathematical Sciences from AIMS Ghana and the University of Ghana, and a BSc in Mathematics from KNUST. His research focuses on mathematical modeling of financial markets, optimal investment strategies, and derivative pricing. He is also passionate about data science and machine learning, with interests in exploring how local phenomena affect global markets (contagion). Beyond finance, he is engaged in broader applications of mathematical modeling and complex systems analysis.

Dr. Louis Boansi Okofo is a dedicated Hydrogeologist with over five years of specialized experience in water supply development, hydrogeological characterization, and aquifer sustainability. He holds a Ph.D. in Hydrogeology from the Cottbus University in Germany with a research focus on numerical groundwater modeling and the evolution of groundwater chemistry. His expertise spans inverse geochemical modeling, groundwater quality monitoring for emerging contaminants such as PFAS and pharmaceuticals, and geohydraulic modeling for delineating drinking water protection zones. Since 2017, he has been involved in advanced research on groundwater age dating using Sulphur Hexafluoride (SF₆) and Chlorofluorocarbons (CFCs), employing Gas Chromatography with Electron Capture Detection (GC-ECD). Dr. Louis Boansi Okofo is also actively engaged in evaluating and promoting Managed Aquifer Recharge (MAR) as a tool for sustainable aquifer management and climate change adaptation. Proficient in GIS, database management, and modeling tools, his work emphasizes the integration of field data, geochemical analysis, and computational methods to address complex groundwater challenges.

Mr. Daniel Ofori Arthur is a seasoned data analyst and statistics professional with over six years of experience in data analytics, research methodologies, and business intelligence. He currently works as a Data Scientist and Research Officer, utilizing a range of analytical tools including R, Stata, NVivo, EViews, SPSS, SQL Server, Power BI, and Tableau to support data-driven decision-making. Daniel excels in translating complex data into actionable insights that enhance operational efficiency and strategic outcomes. He is currently pursuing an MPhil in Statistics, further strengthening his expertise in advanced statistical modeling and applications. With a multidisciplinary background spanning research, education, and business intelligence, Daniel brings innovative, insight-driven solutions to a variety of organizational challenges.

Emmanuel Hinneh is a Data Scientist and A Software Engineer specializing in analytics for the healthcare industry. He is an Analyst at Atrium Health, and he partners with the Wake Forest Clinical and Translational Science Institute (CTSI) to design and implement cloud‐based tools that help medical researchers transform complex datasets into actionable insights. With a career spanning healthcare technology and financial services, he leads the development of scalable data pipelines, automated reporting systems, and streamlined ELT processes that enhance research workflows.Previously, Emmanuel served as a software engineer and data scientist at Marigold and Co. and as a software engineer at Stanbic Bank Ghana. He holds an M.Sc. in Data Science from Carolina University and a B.Sc. in Electrical/Electronic Engineering from the Kwame Nkrumah University of Science and Technology, blending analytical rigor with software engineering expertise.Committed to bridging technical and operational gaps, he also contributes to open-source projects. Emmanuel is based in Winston Salem, North Carolina.

Dr. Theophilus Ansah-Narh is a Senior Research Scientist and Acting Deputy Director at the Ghana Space Science and Technology Institute (GSSTI), Ghana Atomic Energy Commission (GAEC). He leads scientific, technical, and administrative initiatives while advancing research at the intersection of artificial intelligence, data science, and computational modelling. He holds a PhD in Physics from Rhodes University, South Africa, with expertise in intensity mapping techniques via simulation. His research spans multiple disciplines, applying AI-driven methodologies to challenges in astronomy, environmental science, healthcare, and engineering. His work includes developing predictive models for groundwater contamination, anomaly detection in power generation, financial risk assessment, and disease outbreak forecasting. In radio astronomy, he contributes to projects on radio frequency interference mitigation, anomaly detection, and machine learning applications for telescope data analysis. Dr. Ansah-Narh has held research fellowships at the African Institute for Mathematical Sciences (AIMS) in South Africa and the University of Oxford. He has been instrumental in interdisciplinary projects, integrating AI with real-world applications to enhance data analysis and decision-making. His contributions extend to academia, where he mentors graduate students and collaborates internationally on advancing artificial intelligence and data science.

Bismark Awinbire Akurugu is a dedicated Hydrogeologist and Research Scientist with a passion for unravelling the complexities of hydrological systems. He holds a BSc in Environmental Science, an MPhil in Hydrogeology and is currently a PhD candidate in Earth Science. His research focus and expertise lie in the application of numerical models and satellite remote sensing data in the assessment of water resource management decisions and climate change impacts on water resources. His expertise extends to the statistical treatment of hydrogeological data, geospatial analysis, hydrochemical modelling, and hydraulic testing. His recent research targets the integration of near-surface and borehole geophysical techniques in subsurface characterisation, remote sensing, and climate models in advanced calibration and validation techniques as applied to hydrological modelling

Kwame Owusu Ampadu received his Bachelor of Science Degree in Computer Science and Mathematics in 2004 and commenced the Master of Philosophy Mathematics research in 2007 at The University of Ghana, where he also received the Master of Philosophy Computer Engineering Degree in 2017. He is currently a Dependable Hardware/Software Systems PhD candidate at The Brandenburg University of Technology, Cottbus-Senftenberg, Germany. He served as a lecturer at The Accra Technical University formerly Accra Polytechnic from where he also received a Higher National Diploma in Mechanical Engineering in the year 2000. His research topics mainly include Software Development, Control Systems, Robotics, Artificial Intelligence, Autonomous Vehicles and Automobile Safety.

Dr. Benjamin holds a Ph.D. in Science from AcSIR at CSIR-National Geophysical Research Institute, India, with specialization in Exploration Geophysics and GIS-based Machine Learning for Mineral Exploration. His research focused on integrating machine learning algorithms with geoscientific datasets to generate high-resolution prospectivity maps for orogenic gold systems in southwestern Ghana. He is proficient in applying supervised and unsupervised learning techniques to identify key geological features controlling mineralization. With experience in geophysical data integration and spatial analysis, he uses data-driven approaches to enhance target prediction accuracy. Benjamin has conducted fieldwork and data processing in Ghana, Nigeria, South Africa, and India, and previously worked with Newmont Ghana’s Geophysics team.