Research
Research & Life Sciences
Bioinformatics, omics, experimental design, statistical inference and computational support for research groups, laboratories and healthcare organizations.
Research-driven data science
Complex data. Defensible answers.
Quantum Data Science brings scientific reasoning and engineering rigor to complex data problems—from biomedical research and statistical modeling to AI systems, process automation and operational decision support.
We design studies, build analytical pipelines and develop validated models and data products for organizations that need more than a black-box answer.
Organizations
Organizations & Operations
Predictive models, process automation, document intelligence, system integrations and data products for operational and strategic decision-making.
The analytical visualizations presented throughout this page originate from research, academic and applied projects developed by João Muzzi. Client-related materials have been anonymized to preserve confidentiality.
The question comes before the tool.
Every project starts with a clearly defined question or operational objective. We then select the methods, models and technology appropriate to the problem—not the other way around. The result is work that can be reproduced, examined and used with confidence.
Services
What we do
Five lines of work, combined as each project requires.
Bioinformatics & omics analysis
RNA-seq, microarrays, transcriptomics, regulatory networks, gene-set enrichment and variant interpretation. End-to-end, reproducible pipelines from raw data to interpretable results.
Statistical modeling & experimental design
Study design, sample-size and power, survival analysis, mixed models, Bayesian methods. Correct inference, honest uncertainty, results that hold up under peer review.
Machine learning & AI systems
Predictive and risk models, classification, language-model workflows for documents and reports. Validated the way science demands: proper splits, calibration, and a clear account of what the model can and cannot do.
Data products & process automation
Dashboards, APIs, automated reports, system integrations and data pipelines that connect to the systems you already use, from spreadsheets to ERPs and laboratory systems.
Scientific & research support
Analysis for manuscripts and grant proposals, publication-quality figures, methods sections, reproducibility audits and training for research teams.
Not sure where your problem fits?
Most projects touch more than one line. Send us a description of your data and your question, and we will tell you what a sound approach looks like, and whether we are the right partner for it.
Describe your project →Approach
How we work
Scientific rigor
Explicit hypotheses, appropriate methods, and uncertainty reported rather than hidden. We say what the data supports and where it stops.
Reproducibility
Versioned code, documented pipelines and environments that run again next year. Everything we build is handed over; you own it.
Engineering discipline
Models and pipelines built to run in production: tested, monitored, integrated with the systems your team already uses.
Clear communication
Plain-language summaries for decision makers, full technical appendices for those who want to check every step.
How a project runs
- DiscoveryA conversation about your data, your question and what a useful answer would change.
- ProposalScope, methods, deliverables, timeline and cost in writing, with no ambiguity.
- ExecutionShort cycles with checkpoints, so direction can be adjusted early rather than late.
- HandoverCode, documentation and a walkthrough. Support afterwards if you want it.
Track record
Selected experience
Fields in which our team has delivered research and applied work.
- Computational oncology, bioinformatics and multi-omics research
- Statistical modeling and experimental design
- Predictive modeling and AI applications in healthcare
- Data automation for legal, financial and operational processes
- Reproducible analytical pipelines and production data systems
- Peer-reviewed research and international collaborations
Founder
João Muzzi, PhD
Founder & Computational Researcher
Quantum Data Science was founded by João Muzzi, PhD in Microbiology, Parasitology and Pathology from the Federal University of Paraná, holder of the MIT MicroMasters in Statistics and Data Science and a bachelor's degree in Bioprocess Engineering and Biotechnology.
He is a postdoctoral researcher in computational oncology, author of thirteen peer-reviewed publications with international collaborations, and an elected full member of Sigma Xi, the scientific research honor society.
His academic track record and earlier professional work are documented on his personal page. Quantum Data Science is the company through which that expertise is now offered to research groups and organizations.
Full profile at jmuzzi.quantumds.tech →Contact
Bring us the question behind your data.
Tell us what data you have, what you need to determine and how the answer will be used. That is enough for an initial assessment. We reply within two business days.
- Emailjmuzzi@quantumds.tech
- WhatsApp+55 (41) 2105 0171
- AddressRua Bom Jesus, 212, Sala 1904 · Juvevê, Curitiba, PR · 80035-010, Brazil
- LocationCuritiba, Brazil (UTC−3) · remote collaboration worldwide