Predicting Adverse Childhood Experiences via Machine Learning Ensembles Recently, we collaborated with the Indian Institute of Technology Mandi team to understand if predicting exposure to childhood trauma (Adverse Childhood Experiences-ACEs) is possible without directly asking questions about specific ACEs. We found that by understanding specific internalization experiences (such as well-being, depression and anxiety, sleep quality) and externalizing behaviours (such as suicide behaviour, ability to focus, history of self-harm, etc.), it is possible to understand if the individual has been exposed to low or high ACE level. The findings affect psychotherapists, psychologists and psychiatrists since many people take the time or