Tuna Acisu
Tuna Acisu is a Data Scientist at Our World in Data, where she joined in 2024 as part of the data team. She holds an M.Sc. in Data Science from the Technical University of Munich and previously worked on machine learning for epigenetics and in management consulting. At Our World in Data, she works on topics including migration, time use, water, hygiene and sanitation, and medicine and biotechnology, and has contributed to research on childhood stunting and its historical decline.
“My colleagues Hannah Ritchie and Tuna Acisu recently wrote about what countries with high stunting today can learn from Japan.”
Source→“Tuna made one last appeal to our audience on social media...The response was overwhelming, with over a thousand comments and shares from people trying to help.”
“Before World War II, Japan focused on tackling infectious diseases…Stunting declined at a moderate pace. After the war, they tackled both disease and diet…This multifaceted approach made progress nearly three times faster.”
AI-extracted from podcast / newsletter / paper summaries. May contain errors.