Diogo Barros, M.Sc.
Data Scientist and Chemometrician
Diogo is passionate about machine learning and its application in analytical chemistry, finding trends and patterns in chemical data is what he enjoys doing. He believes in a bright future by the certain use of AI in our society. Holds a MSc in Chemical Analysis and Characterisation Techniques (2019) where he developed a novel data augmentation algorithm for upsampling classes in chemical data problems.
Besides researching work, Diogo has experience in solving industry-related problems by the use of analytical methods such as HPLC-MS and GC-MS.