Adjani Gama Dessavre is a Data Scientist & Front-End Developer at Data-Pop Alliance. She has an MSc in Interdisciplinary Mathematics from the University of Warwick and postgraduate studies in AI and ML from Texas McCombs School of Business. She has experience in mathematical modeling, data analysis, graph theory and statistics-related areas. She also has experience teaching at graduate level and has participated as a speaker in conferences focused on social good and data.

Her main interests include visualization, UI/UX, mathematical modeling, networks, stochastic processes, AI, and their applications to social good, as well as feminism, mental health awareness, and data ethics.

Besides her professional work, she is a writer and audiovisual artist.

Publications

– Gama Dessavre A, Southall E, Tildesley MJ, Dyson L. The problem of detrending when analysing potential indicators of disease elimination. Journal of Theoretical Biology. 481:183-193. November 2019. DOI: 10.1016/j.jtbi.2019.04.011