Scientific research and publications
Computational oncology research, reproducibility work published in the European Journal of Endocrinology, and 13 peer-reviewed publications with international collaborations.
Curitiba, Brazil · Available for remote international work
João Muzzi, PhD
Computational Oncology & Bioinformatics Researcher · Data Scientist & AI Product Builder
I combine scientific reasoning, statistical modeling and engineering to investigate complex problems and build analytical systems that can be examined, reproduced and used in practice.
My work combines statistical modeling, artificial intelligence, bioinformatics, data engineering, product development, and strategic consulting across biomedical, legal, financial, environmental, and institutional applications.
- 13 peer-reviewed publications — first author in the European Journal of Endocrinology (2025)
- Abstract Award — 9th International Adrenal Cancer Symposium (2024)
- AI & data products in production for legal, environmental, and financial clients
- Production systems in Python and R — REST APIs, ETL pipelines, ML models, and Shiny applications
- International remote contractor — B2B engagements available through Quantum Data Science.
Bridging science, technology, and real-world decision-making
My trajectory has followed a consistent pattern: understand complex systems, translate them into measurable variables, and build practical solutions that improve decisions and processes.
I am a Computational Oncology researcher and Data Scientist with a multidisciplinary background spanning biotechnology, statistical modeling, bioinformatics, data engineering, artificial intelligence, and analytical product development.
My career has followed a consistent pattern: understanding complex systems, translating them into measurable variables, and building models or tools that improve decisions. This approach has taken me from experimental biotechnology and industrial process modeling to computational oncology, financial simulation, legal analytics, public-sector studies, and AI-driven products.
Today, I combine scientific research with applied data science as Co-founder and Head of AI & Data Science at Neuraxis and as a Postdoctoral Researcher at the Pelé Pequeno Príncipe Research Institute.
Where to Start
Pick the path closest to why you are here — research, applied data science, or consulting.
Products, models, and engineering
End-to-end data products, AI systems, and analytical platforms — from genetic-analysis workflows and environmental data products to a public finance simulator covered by the press.
Analytics for high-stakes decisions
Simulation models, due diligence, and decision-support systems for institutional and corporate clients, including the precatório simulator developed for OAB-PR.
Curious about the person behind the work? Beyond work →
Areas of Expertise
Four complementary dimensions structure my work.
Data Science & AI
Predictive modeling, machine learning, neural networks, computer vision, classification, simulation, and applied AI.
Bioinformatics & Computational Oncology
Transcriptomics, regulatory networks, clinical genomics, immune profiling, survival analysis, and precision oncology.
Data Products & Engineering
Relational databases, ETL pipelines, APIs, automation, dashboards, analytical platforms, and reproducible workflows.
Strategic Analytics
Financial simulation, institutional studies, business intelligence, public finance, decision-support systems, and technical consulting.
Credentials, Recognition & Education
Academic credentials, scientific recognition, international memberships, and formal education reflecting key milestones in my scientific and professional trajectory.
Award certificate — MD Anderson Cancer Center
Abstract Award — International Adrenal Cancer Symposium
MD Anderson Cancer CenterReceived the Abstract Award for Outstanding Contribution at the 9th International Adrenal Cancer Symposium for research on the cross-study reconciliation of SF-1 regulatory targets in adrenocortical carcinoma.
The study addressed a scientific inconsistency that had remained unresolved for more than a decade by reconciling apparently divergent SF-1 perturbation studies and demonstrating convergence at the transcriptional and phenotypic levels.
- Abstract Award for Outstanding Contribution
- 9th International Adrenal Cancer Symposium
- MD Anderson Cancer Center
- Published in the European Journal of Endocrinology
Official MIT letter — Institute for Data, Systems, and Society
MITx MicroMasters in Statistics and Data Science
Massachusetts Institute of Technology — MITxCompleted the full MITx MicroMasters Program in Statistics and Data Science, covering probability, statistics, machine learning, and data analysis through graduate-level coursework and proctored capstone examinations.
The official MIT letter describes the four courses as equivalent to graduate-level MIT courses and emphasizes that they follow the same level of rigor as their residential counterparts.
- 4 graduate-level courses
- Probability
- Statistics
- Machine Learning
- Data Analysis
- Proctored capstone examinations
Official membership letter — Sigma Xi
Elected Full Member of Sigma Xi
Sigma Xi, The Scientific Research Honor SocietyElected as a Full Member of Sigma Xi, an international and multidisciplinary research honor society. Full membership is granted by nomination and recognizes noteworthy achievements in scientific research.
The official membership letter states that Full Membership is conferred upon researchers who have demonstrated noteworthy achievements in research, considering publications, research trajectory, quality of research, and scientific contributions.
- Full Member
- Membership by nomination
- Recognition of research achievement
- International multidisciplinary scientific society
Performance letter — Harvard Medical School
HMX Pro Immunology — Immuno-Oncology
Harvard Medical SchoolCompleted advanced training in immuno-oncology through Harvard Medical School’s HMX Pro program, integrating immunology, tumor biology, and therapeutic approaches.
99%Overall score
95%Final exam score
- HMX Pro Immunology — Immuno-Oncology
- Immunology and tumor biology
- Therapeutic approaches
- Harvard Medical School
Honorable mention — Federal University of Paraná
Honorable Mention for PhD Scientific Production
Federal University of Paraná — UFPRAwarded by the Graduate Program in Microbiology, Parasitology and Pathology in recognition of the scientific production resulting from my doctoral thesis in adrenocortical carcinoma and immune-oncogenomics.
- Recognition for doctoral research output
- Graduate Program in Microbiology, Parasitology and Pathology
- Federal University of Paraná
- Scientific production resulting from the PhD thesis
Member profile — AI for Developing Countries Forum
International Scientific & Professional Memberships
ENS@T · AIFODActive participation in international communities connecting scientific research, artificial intelligence, and translational oncology.
European Network for the Study of Adrenal Tumours — ENS@T
2025–Present
AI for Developing Countries Forum — AIFOD
2025–Present
- Adrenal tumor research network
- International AI community
- Scientific and professional collaboration
- Cross-disciplinary engagement
Additional distinctions
- Ranked 1st in the 2020 selection process for the Master’s Program in Microbiology, Parasitology and Pathology at UFPR.
- Ranked 1st in the subsequent 2020 PhD selection process after being nominated for early progression from the master’s track.
Education
PhD in Microbiology, Parasitology and Pathology
Federal University of Paraná, 2022
Immune-oncogenomic analysis of adrenocortical carcinoma. Honorable Mention for the scientific production resulting from the thesis.
MicroMasters in Statistics and Data Science
Massachusetts Institute of Technology, 2023
Probability, statistics, computation, and machine learning. Top 25%.
BEng in Bioprocess Engineering and Biotechnology
Federal University of Paraná, 2011
Interdisciplinary training in biological processes, engineering, mathematics, and industrial biotechnology. Top 25%.
UNESCO BIODEV — Master of Science Program
Master’s coursework completed in Biotechnology for Sustainable Development. The research project, developed in partnership with TECPAR, focused on quantitative detection of tetanus toxoid. The degree was not completed after the Bacterial Vaccines Division was discontinued.
Selected advanced training
- HMX Pro Immunology — Immuno-oncology, Harvard Medical School
- Machine Learning with Python, MIT
- Probability — The Science of Uncertainty and Data, MIT
- Fundamentals of Statistics, MIT
- Statistical Modeling and Computation in Applications, MIT
- CS50 — Introduction to Computer Science, Harvard University
Selected External Recognition
Institutional and media coverage of selected scientific and analytical work.
Research recognized by the Pelé Pequeno Príncipe Research Institute
The Institute highlighted my research reconciling a long-standing methodological discrepancy in SF-1/NR5A1 target identification in adrenocortical carcinoma, work that also received an Abstract Award at the International Adrenal Cancer Symposium at MD Anderson Cancer Center.
Precatório simulation featured in the press
A public-finance simulation model developed through Grand Hill for OAB-PR was featured in the press during the national debate over proposed changes to Brazil’s precatório payment framework.
FleetGreen: from first MVP to an award-winning product
As the only technical member of a joint GreenPlat–Mercedes-Benz team, I built the MVP of FleetGreen, a telemetry-based emissions product showcased at FENATRAN 2022. The product later evolved under Mercedes-Benz and received third place at the 2024 Daimler Truck Green Mover Award.
Let’s Connect
I am open to international collaboration, research partnerships, data-science projects, technical consulting, and opportunities involving applied AI, bioinformatics, and analytical product development.
I am particularly interested in projects that combine technical complexity, scientific rigor, interdisciplinary thinking, and meaningful practical impact.
Location & time zone: Curitiba, Brazil (UTC−3) — full overlap with US Eastern mornings and 3–4 hours of overlap with Central European afternoons.
Languages: fluent English — the working language of my scientific writing, conference presentations, and international collaborations; advanced French (Alliance Française); native Portuguese.
Engagement: available for remote positions as a direct hire or as an independent contractor. Consulting and B2B engagements can be arranged through Quantum Data Science. Also open to scientific collaboration.