Larissa Sust received her B.Sc. in psychology and her M.Sc. in economic, organizational, and social psychology from Ludwig-Maximilians-Universität München, where she is currently pursuing her Ph.D. at the chair for psychological methods and assessment.
Larissa’s research lies at the intersection of personality psychology and computational sciences. She combines self-reports with digital behavioral and situational data, particularly collected via smartphone sensing technologies, to explore the interplay between persons (e.g., personality traits, mood states), their behaviors (e.g., app usage, music-listening) and the situations (e.g., situation perceptions) they encounter in daily life. For this purpose, she combines classic statistical modeling with novel approaches such as machine learning predictions or Natural Language Processing.
Throughout her research, Larissa employs and promotes the principles of Open Science. Being highly engaged in personality computing, Larissa is eager to work towards improving conceptual clarity, standardization, and, ultimately, transparency and reproducibility in all aspects of this emerging field.