Carlos Eduardo R. de Mello, PhD
PROFESSOR | RESEARCHER | DATA SCIENTIST

Experienced lecturer and researcher in Data Science and Analytics, with strong technical and academic background in Computer Science, Statistics and Mathematics. Highly specialized in Analytics, Data Mining, Machine Learning, Statistical modeling and Programming. 

My professional goal is to enhance, teach and spread knowledge in the field of Data Science for Social Good and Welfare in Brazil, with the aim of popularizing data-driven approaches to improve life and society. 

Currently, I am the leader of DBEM (Ciência de Dados para o Bem-estar social) group, focused on Data Science for Social Good at UNIRIO. If you're interested in joining our research group or pursuing a PhD or Master's in Data Science with a focus on challenging projects aimed at promoting social welfare, please don't hesitate to reach out to me.

Research profile

My motivation is to enhance social good and welfare through data-driven approaches. For this, I investigate methodologies that can be useful to design, improve and evaluate data-driven solutions.

Within this scope, my topics of interest lie in 

• analytical modeling

• experimental design

• causal inference

• differential privacy

The main application themes are on 

• healthcare 

• social media

• privacy-preserving

About me

Carlos Eduardo, who goes by the nickname Cadu, is a Brazilian-Portuguese national born in Rio de Janeiro, Brazil. In 2013, he obtained his PhD from École Centrale Paris (CentraleSupelec), one of the most prestigious engineering schools in France. Prior to that, he completed his Bachelor's and Master's degrees in Computer Science and Engineering from COPPE/UFRJ, a leading research institution in Brazil.

Currently, Cadu is an Associate Professor in the Department of Applied Informatics at UNIRIO, where he has been serving since 2016. Prior to joining UNIRIO, he was an Assistant and Adjunct Professor in the CS Department at UFRRJ from 2010 to 2016. Throughout his career, Cadu has worked on numerous research and development projects, with a focus on areas such as data mining, machine learning, and data analytics.

In his free time, Cadu enjoys playing guitar and piano, cooking and barbecuing, running, traveling, and spending time with his family.

Research projects

• Predictive analytics for tooth loss risk in Brazil
  This study aims to develop machine learning models to predict tooth loss risk in the Brazilian population using data from the Health National Survey. The findings could identify individuals at higher risk and facilitate early interventions, ultimately improving the quality of life and reducing the burden of tooth loss in Brazil.

• Improving the Brazilian Unified Health System: A Data Analytics Approach
  Long wait times and overcrowded facilities in the Brazilian Unified Health System (SUS) have been persistent issues, negatively impacting patient satisfaction and life quality. This research proposal aims to use data analytics to gather information on patient flow, medical facilities, and workforce to identify patterns, predict future demand and delays, and develop strategies to reduce waiting times. 

• Privacy-preserving on Brazilian pandemic health data
  During the pandemic, individual-level health data was made publicly available. While this availability provided useful data for research on the COVID outbreak, it also had the potential to expose individual medical records. This research project aims to address privacy-preserving techniques for individual medical records in Brazilian public health data, to ensure that sensitive information is protected while enabling valuable research in the fight against the pandemic. 

DBEM Group – Activities

• DBEM Readings
  This is a journal club that analyzes and discusses scientific and technical papers on Data Science and Artificial Intelligence. The meetings occur regularly every two weeks on Tuesdays. 

• DBEM Talks
  This is a podcast in which I interview different professionals and academics in Data Science and Artificial Intelligence. To watch the videos, you may find them on my YouTube channel.

• DBEM Mentoring
  Not yet underway.