I was born in Trujillo (Perú). I got a B.Sc. degree in Computer Science (2009) at Universidad Nacional de Trujillo (UNT). After my undergrad's studies, I had a teaching experience (2009-I and 2009-II) at Universidad Privada del Norte (Cajamarca, Perú). I got a MSc degree in Computer Science (2012) at the Institute of Mathematics and Statistics (IME) of the University of São Paulo (Brazil). My master's studies was under supervision of Prof. Dr. Roberto Hirata Junior working on object detection in videos using mixtures of deformable part models obtained from an external image set. It was funded by FAPESP. I got the second prize in the XX Latin American Contest of Master Thesis (CLTM - CLEI 2013). Then, I did a research internship for 6 months at the LITIS Laboratory - INSA of Rouen (France, 2013-I), under supervision of Prof. Dr. Stéphane Canu working on techniques of machine learning for recommender systems. Now, I'm a PhD in Computer Science. During my PhD studies I was under supervision of Prof. Dr. Paulo Miranda at IME-USP (Brazil) working on an efficient hierarchical graph approach for Multi-Region Segmentation. Currently, I am giving Artificial Intelligence consultant services at GENTER - Company Human Resources Solutions. (Source: Lattes Curriculum)
| Articles published in Pesquisa para Inovação FAPESP about the researcher: |
| Artificial intelligence helps predict risk of complications in feet of diabetic patients |
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| News published in Agência FAPESP Newsletter about the researcher |
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In the world there are already 500M of people with diabetes and 30% of them will suffer from a physiological disaster called "diabetic foot", which generates $ 350B of cost dollars a year. The mortality rate can be compared to more aggressive cancers. Foot complications are present in about 19 to 34% of diabetic patients. It is estimated that 9 to 26 million people worldwide are diagnosed…
(Only some records are available in English at this moment)
| 1 / 1 | Completed research grants |
| 9 / 9 | Completed scholarships in Brazil |
| 10 / 10 | All research grants and scholarships |
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