R-Instat Developers



Maxwell Fundi

Maxwell is an Information Technology graduate from Maseno University with a great interest in technology and innovation. He has been involved in technology outreach programs with Google, Intel and Mozilla.
He is currently a Software Developer at the African Maths Initiative and has been a member of the R-Instat development team since its inception. His involvement has been focused on the data visualisation tools with ggplot2, the installation processes and translations of the software.
Maxwell hopes to continue using his experience to promote statistical literacy, and pursue his postgraduate studies.


John Lunalo

John Lunalo is an Economics and Statistics graduate from Kenyatta University. He has further expanded his education with online courses including Statistics Made Simple by Statistical Services Centre- University of Reading and Data Science Specialization by Coursera.
He is passionate about data science and he has been key developer of the Data Preparation Menu of R-Instat. He plans to pursue a career in data analytics.


Alex Sananka

Alex Sananka gained a first-Class Honours degree in Mathematical Sciences at Maseno University.
He intends to continue pursuing his passion for mathematics with post-graduate studies. He has been involved in developing R-Instat’s Prepare and Describe Menus.


Shadrack Kibet

Shadrack Kibet graduated from Maseno University with a first class Honours Bsc Degree in Mathematical sciences. Earlier this year he joined African Maths Initiative team in Kenya working on the African Data Initiative and R-Instat as a volunteer Intern.
He is involved in the development of R-Instat, with a focus on the Prepare and Climatic menus. Shadrack is passionate about learning programming, and incorporating it with his other areas of interest: Mathematics and Statistics.


Steven Ndung'u

Steven graduated with honours from Eldoret University in Actuarial science. He has continued to follow his passion for learning, Statistics, Actuarial Science and Computing by acquiring a a certificate in Financial Mathematics at Institute and Faculty of Actuaries (UK) and also taking other short online courses such as Statistics and R at HavardX and Coursera. He Steven intends to pursue a career in Research and data science.
He has been a key developer of R-Instat in implementing Prepare, describe and model menu.

R-Instat Conceptualisers



David Stern

David's interests in mathematics are very broad, including statistics and computing. He previously worked as a computer programmer in the UK, in software development. He has been particularly active in mathematics education at all levels and is excited by the opportunities for it to impact African development, given the growing access to technology. In statistics David implemented an e-learning MSc program in Research Methods in Kenya and is currently vice president of theInternational Association for Statistical Education.
Climate variability and change is also of major interest to David and he has established and managed a number of climatic related projects in Kenya and Ghana. His major contribution in projects has been to bridge the gap between the local institutions and international research.


Roger Stern

Roger’s main interests are climatic statistics and improving the teaching of statistics at undergraduate and post-graduate level.
Roger has an emeritus position at the University of Reading and also works with Stats4SD, a not-for profit consultancy group, where he leads their work with national and international meteorological services. He has previously worked for the University of Colombo, Sri Lanka; the Institute of Agricultural Research, Zaria, Nigeria; and the International Crop Research Institute for the Semi-Arid Tropics (ICRISAT) in Niamey, Niger.


James Musyoka

James Musyoka's involvement with ADI started right at the beginning of the initiative. He was among the team members that conceptualized the idea behind the initiative. On the back of this, he became the main character on the campaign video that was used to crowd-source for funds. For almost two years since the start of ADI work, he has been coordinating and managing the software development team based in Kenya.
His role also includes running logistical aspects of the initiative while also being part of a team that manages the project funds. Recently, he was the first person to use the beta-version of the new software for teaching an undergraduate statistics course at Maseno University where he currently works as a lecturer. In the future he sees himself playing a major role in supporting fellow lecturers and educators in using the software to improve the teaching of statistics.


Zach Mbasu

Zach is a founder of African Maths Initiative and is very passionate about Technology Integration in Education especially in mathematics. He has turned his passion into helping teachers as well as delivering exciting learning opportunities for students.
He loves building capacity for schools and instructors to become not only consumers but producers of high quality learning resources. He also enjoys sharing practical classroom and out of classroom ideas and helping teachers and students build a positive mindset so that they can truly enjoy what they are doing. He has a bachelor's degree in Education Science and a Master's degree in Applied Statistics.

UK Based support



Danny Parsons

Danny completed his Masters in Mathematics at the University of Warwick, UK. During his undergraduate degree, Danny also had a keen interest in Mathematics education and spent two summers teaching in Primary and High Schools in the Kibera slums of Nairobi, Kenya.
After graduating he went to AIMS-South Africa to work with their Schools Enrichment Centre.


Lily Clements

In 2016 Lily was awarded a First Class Honours degree in Mathematics and Statistics (BSc) by the University of Reading. Later this year, she will embark on an MSc in Statistics at the University of Southampton.
Lily’s expertise is in high-level problem solving with a focus on understanding and analysing data. She is also keen on explaining mathematical and statistical concepts to non-mathematicians.