CV
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Education
- Ph.D. in Mathematics (2018-2022)
- Institution: Instituto de Matemática Pura e Aplicada (IMPA)
- Location: Rio de Janeiro, Brazil
- Thesis: Boosting and concentration of measure methods in Machine Learning
- M.Sc. in Mathematics (2016-2018)
- Institution: Universidade de São Paulo, ICMC-USP
- Location: São Paulo, Brazil
- Dissertation: Teoria ergódica em fluxos homogêneos e teoremas de Ratner
- Bachelor in Mathematics (2012-2015)
- Institution: Universidade de São Paulo, ICMC-USP
- Location: São Paulo, Brazil
Work experience
- Postdoctoral Researcher (Present)
- Institution: ICMC-USP, São Carlos/SP, Brazil
- Funding: FAPESP
- Role: Mapping urban segments and crime types using satellite imagery, spatial metrics, and neural networks to understand socioeconomic and cultural influences on criminal dynamics.
- Data Scientist Specialist (2023)
- Company: Samsung Research Brazil, SRBR
- Role: Developed healthcare initiatives for Samsung devices, working with time-series data and sensor information to create AI solutions enhancing user experiences and well-being.
- Postdoctoral Researcher (2023)
- Institution: Instituto de Matemática Pura e Aplicada - IMPA
- Funding: FAPERJ
- Role: Conducted machine learning research, led projects, and authored scientific papers.
- AI Consultant (2023)
- Client: Rio de Janeiro City Hall (partnership with IMPA)
- Role: Utilized radar and satellite data for short-term rainfall and flood predictions using classical machine learning models. Project details.
- AI Consultant (2022)
- Client: Cartesi Blockchain (partnership with IMPA)
- Role: Enhanced Cartesi Blockchain’s Proof-of-Stake lottery system using computational simulations and statistical theory.
- AI Consultant (2022)
- Client: Rede Globo (partnership with IMPA)
- Role: Developed algorithms to extract keywords from over 1.5 million movies and TV series for recommendation systems. Project details.
- AI Consultant (2021)
- Client: Grupo Dasa (partnership with IMPA)
- Role: Developed an algorithm to analyze MRI images for detecting pregnancy-related issues with a 93% accuracy rate, aiding early diagnosis in remote areas. Project details.
- AI Consultant (2020)
- Client: Stone Pagamentos (partnership with IMPA)
- Role: Developed a machine learning algorithm to enhance credit decisions, unlocking market potential and solving a critical challenge for the company. Project details.
Publications
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