ANTI-VeC member and awardee of a training and technology/knowledge exchange visit, Roger Sanou from Institut de Recherche en Sciences de la Sante, Burkina Faso, visited the University of Glasgow for training on how machine learning analysis can be used to interpret infrared spectra for Mosquito trait prediction. He shared his experience with us. 

"This grant has helped me understand Python software better, which we began to use in Ifakara Health Institute since April 2018.
 
It's really in Glasgow that I started understanding the way to choose the algorithm, the optimisation and the validation steps of Python analysis. In fact, during the course, everyone was working on their own data generated from their country in a collaborative way, so that issues were solved and troubleshooting occurred via one-to-one discussions during the running of the analyses.

Using this type of analysis, we are now able to predict age grading and species of Anopheles s.l. from lab and field samples. Thanks to the training, I can now complete these steps of analyses alone, and in case of any issues I know who and how to get help to fix the problem. The training visit has also put me in contact with other students involved in machine learning from Glasgow, and with other biological scientists in Glasgow, which I hope will create further collaborations."
 
Roger Sanou
Institut de Recherche en Sciences de la Santé, Burkina Faso

ANTI-VeC Training and Technology/Knowledge Exchange Visits is an open scheme and is available to registered PhD students from DAC-list countries and early career researchers from the UK or DAC-list countries. 

First published: 16 May 2019

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