Rommel N. Carvalho

Chief Data Scientist and Professor in Brasília, Brazil

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Dr. Rommel N. Carvalho is the Chief Data Scientist of the Observatory of Public Spending at the Brazilian Office of the Comptroller General (CGU). He leads a team of 20 Data Scientists responsible for monitoring public expenses, finding fraud, and fighting corruption. He has recently received the second place in the 5th Chico Ribeiro Prize about Quality and Cost Information of Spending in the Public Sector. He finished his Postdoctoral at George Mason University (GMU) in the area of artificial intelligence, data mining, uncertainty, and knowledge discovery in May 2012. During the 3 years of his PhD, he was a Graduate Research Assistant in the Department of Systems Engineering and Operations Research at GMU, Virginia, USA. He received his Master in Computer Science and his Bachelor of Computer Science from University of Brasília (UnB), DF, Brazil, in 2008 and 2003, respectively. He has been working for CGU as an IT expert since 2005 and at UnB as a Professor on the Applied Computer Science Masters program since 2012, when it was created. From 2011 to 2012 he participated in the Transparency Portal team, where his key role was to be the main expert in Open Government Data (OGD). In the end of 2012 he started working as the leader of the Data Science team at the Department of Research and Strategic Information (DIE). One of the projects developed at DIE, the Reference Price Database, won the first place on the CONIP 2013 Excellence Award in the category Management and Geographical Information Systems. He has done research on fraud detection and prevention for the Brazilian Government and situation awareness for the U.S. Navy. With 12 years of experience in the area, he has produced more than 130 different technical outputs, including papers, book chapters, technical presentations, processes, among others.

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  • Work
    • Brazil's Office of the Comptroller General (CGU)
  • Education
    • PhD, Systems Engineering and Operations Research
    • MSc, Computer Science
    • BS, Computer Science