Short Bio

Hegler Tissot is a senior research fellow in Health Informatics. He received his Ph.D. degree in computer science from the Universidade Federal do ParanĂ¡ in 2016, as a member of the C3SL Labs, and was a postdoctoral researcher at Macquarie University, in 2017. He mostly works with knowledge engineering, and his main research interest is about improving public health services by applying natural language processing to extract structured information from electronic health records and using machine learning to design classifiers, prediction models and risk assessment applications within the clinical domain.
 
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With over 30 years of experience in computer science, he worked in designing large transactional and analytical database systems in many industry sectors. He also has large experience in data mining and data visualization techniques, both applied in several projects within the Financial, Telecom and Healthcare industry sectors for more than 15 years.
 
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His main interests in Data Science range from Knowledge Representation, Reasoning, Machine Learning, Natural Language Processing (NLP), Ontologies, Pattern Recognition, Statistical Analysis, and Information Extraction. His research is mostly focused on applying those technologies to unlock clinical evidence from patient data and improve healthcare related services within the clinical domain, targeting the design and development of clinical predictive and risk assessment models.
 
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