Ana Paula Appel           

I joined IBM Research Brazil in February 2012 and since January 2018, I am in Visual Analytics and Insight group at IBM Research Brazil. The group's mission is to conduct research projects in data-driven aiming to develop novel technologies that can help in several industries as Finance, Agriculture and Natural Resources. I am a master inventor since 2016, member of AOT since 2017 and a Certified Master Data Science since 2019.

In 2011, I worked as a professor at the Computer Science Department at Federal University of Espirito Santo (CEUNES - UFES), Brazil, I worked as a professor in Database and Data Mining area. During this period I also did a post-doc at UFSCar under the guidance of Prof. Dr. Estevam Hruschka.

Before that, I received a Ph.D. (2010) and a Master Degree (2004) in Computer Science from the University of São Paulo under the guidance of Prof. Dr. Caetano Traina Jr. I also, did an year interniship at Carnegie Mellon University (CMU) under the supervision of Prof. Dr. Christos Faoutsos.

My research interests lie in machine learning and data mining, more specifically: temporal data, graph mining, graph and deep learning, financial models and risk analyses.

I am active in the machine learning and data mining research communities, having beeing organizing WinDS - Women in Data Science in the past three edition (2017, 2018 and 2019). I also serve in the program committees of the  ACM International Conference on Knowledge Discovery and Data Mining (ACM-KDD), Brazilian Conference on Intelligent Systems (BRACIS), Symposium on Knowledge Discovery, Mining and Learning (KDMILE) and Simposio Brasileiro de Banco de Dados (SBBD), among others.