Talita Perciano is a Research Scientist at Lawrence Berkeley National Laboratory. She is a member of both the Machine Learning and Analytics group and the Computational Biosciences group. She conducts research in the areas of machine learning, quantum image processing, image analysis and high-performance computing motivated by the incredible challenges around scientific data generated by computational models, simulations, and experiments. Her research focuses on mathematical foundations for new methods, on the implementation of scalable methods, and on platform-portability. Her goal is to develop powerful, mathematically-grounded, scalable algorithms that meet the requirements needed to analyze current and future scientific datasets acquired in user data facilities. She has built a diverse collaboration network throughout the years in fields such as materials science, biosciences, geosciences, among others. She earned her doctorate in Computer Science from the University of São Paulo in 2012.