Research Scientist at ITpS | 🧬 AI generative/LLM in Public Health | 🚀 Building the Future of Health Intelligence
🏥 Research Scientist
Leading innovations in syndromic surveillance and health intelligence at ITpS
- Real World Evidence through AI/ML applications in public health
- Text mining for syndromic surveillance and predictive modeling
- Focus on respiratory and arboviral diseases
🧬 AI generative/LLM Pioneer
Daily application of LLMs in health research workflows
- Configuring and deploying AI agents and MCPs (Model Context Protocols)
- Active user of Claude-code (Anthropic) / Codex (OpenAI) / Gemini (Google) for accelerated development
- Transforming epidemiological research through AI-assisted analysis
📊 R Language Expert
Recently completed 3-year tenure as Project Coordinator at ICEPi (Jul 2022 - Jun 2025)
- Designed comprehensive R programming courses for data science pipeline
- From ETL to Machine Learning, tailored for health surveillance professionals
- 500+ Professionals Trained
🎙️ Science Communicator & Advocate
Founding member and Data Analysis Group Coordinator at Rede Análise
- Founding member of Instituto Mario Schenberg
- Promoting data-driven public health decisions
⚡ Tech Evolution: R (Stats) → Python (ML) → Rust (Performance) → AI generative (LLMs)
From R mastery to polyglot programming
- Currently exploring high-performance computing for real-time surveillance
- Integrating cutting-edge AI generative tools into traditional public health workflows
- Learning and working in bioinformatics since 2014
🎯 WHY I Do What I Do ➜ Transforming data into information is my goal.
I transform complex health signals into actionable intelligence through predictive modeling, real-time surveillance, and AI-powered insights. In public health, every data point represents a life, every model a potential intervention, every visualization a story that needs to be told.
Adapt what is useful, reject what is useless, and add what is specifically your own. Bruce Lee
| Project | Description | Tech Stack |
|---|---|---|
| os-postinstall-scripts | Auto-installation scripts for dev environments with pre-config AI agents and MCPs for different Operational Systems | Shell, Docker, AI Tools |
| Health Surveillance System | Automated digital epidemiological surveillance system | Rust, R, Python, LLMs |
| crosstope | Structural database of pMHC's for vaccine target discovery through immunogenic peptides with potential cross-reactivity | CSS, Bioinformatics |
🔬 Health Surveillance System Components:
- RADIM: Laboratory reports and exam visualization system for private healthcare sector
- Arbovirus Monitoring - Historical outbreaks of arboviruses
- Respiratory Pathogens Monitoring - Historical outbreaks of respiratory pathogens
- Detecta Síndromes: Syndromic surveillance through text mining in free-form fields
- Detecta Integra: LLM-powered syndrome detection replication
- Detecta Estimativa: Nowcasting and forecasting of case trends
Text Mining + LLMs for Early Detection |
Respiratory & Arboviral Disease Trends |
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LLMs for Real World Evidence |
Training the Next Generation |
🧬 Scientific Computing & Analysis
🎨 Data Visualization & Storytelling
🤖 AI & Large Language Models
⚙️ DevOps & Infrastructure
🌐 Modern Web Stack
Community recognition |
Personal projects |
Community engagement |
Active repositories |
Open source contributions |
Network connections |
Active research initiatives |
Scientific publications |
Educational impact |
Institutional collaboration |
🏆 Achievements & 🔥 Streak
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📈 Performance Overview
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| Opportunity | Description | Contact |
|---|---|---|
| 🔬 Research Collaborations | Public health & AI/ML projects | |
| 📊 Open Source Contributions | Health surveillance tools & visualization | GitHub |
| 🎓 Educational Initiatives | Data science training programs | Portfolio |
| 💼 Consulting Projects | Epidemiological analysis & research | ORCID |
⚡ Fun fact: I can explain complex epidemiological models using anime references! 🎌
