Curriculum Vitae
João Victor Pacheco Dias
Statistician · AI applied to healthcare · PhD candidate at HC-FMUSP

Professional Profile
Co-founder and CTO of ARB, working across education, custom software and a research laboratory. Karine Dias is the CEO.
João Victor Pacheco Dias is a Statistics graduate from ENCE, a PhD candidate at HC-FMUSP and a technology entrepreneur. He designs and maintains the AI infrastructure, a shared platform powering multiple verticals: WingsAI (health R&D), IA para Médicos (medical education), GeekVision (digital products), and ConnectAI/Repport AI (sales intelligence). Since 2026, he is also partner and CTO at Lyen (medical jobs platform) and CTO at Spero Science AI. He collaborates with healthcare and business teams to define priorities and develop AI solutions. He is also a PhD candidate in Ophthalmological Medical Sciences at FMUSP (started 2024).
His portfolio focuses on ophthalmology and tools for scientific research, including: BlinkTracking (academic validation at FMUSP), Protocolo Medicina (medical image analysis), IA para Médicos (scientific education), Format Papers (academic tool). Fintech background evidenced by SmartFin, finalist of the 2025 Fintech Award.
Working with data and artificial intelligence since 2012, he has built and led Data Science teams in investment banking (Captalys: 2020-2022), fintechs (iFood Pago: 2024-2025, Zoop: 2022-2024) and healthtech (GeekVision-HCFMUSP: 2017-present). He specializes in Computer Vision, NLP and building data functions from scratch to mature operation.
Products & Platforms
Healthcare AI
Protocolo Medicina
AI platform for ophthalmic image quality analysis. Under development for integration with a national medical quality system. Technical validation ongoing with institutional partners.
protocolomedicina.vercel.appBlinkTracking v1.0
Blink analysis system for ophthalmic research, developed as part of the PhD in Ophthalmological Medical Sciences (FMUSP, started 2024). Face detection with dlib and MediaPipe.
blinktracking.vercel.appAcademic Tools
IA para Médicos
Educational ecosystem for healthcare professionals. Course platform and ArtigoAI+ with 15 specialized assistants for medical scientific writing. B2C model in operation.
iaparamedicos.com.brFormat Papers
Automatic formatting of scientific manuscripts for 22+ high-impact journals (Nature, Science, Cell, Lancet). Cuts formatting time from hours to minutes.
format-papers.vercel.appFintech Background
SmartFin
AI financial copilot for income statement, cash flow and balance sheet analysis via WhatsApp. Finalist of the 2025 Fintech Award.
smartfin.aiWings Group AI: Holding company unifying all initiatives -wingsgroup.ai
Professional Experience
Current roles
Co-founder & CTO
ARB [2026]
Technology company with three areas: education, software development and a research laboratory. Its products include AEO Doctors, a digital presence service for physicians.
ARBPartner & CTO
Lyen [06/2026-Present]
- • Technical leadership of the medical jobs platform
- • Platform architecture and product roadmap
CTO
Spero Science AI [2026-Present]
- • Technical leadership of the platform
- • Architecture and integration of predictive models in production
CTO
WingsAI [02/2025-Present]
- • Vertical AI
- • Micro-SaaS portfolio
- • International expansion
Technology Consultant
Conselho Brasileiro de Oftalmologia [09/2024-Present]
- • Consulting on technology solutions
- • Development of AI guidelines
- • Strategic innovation support
Startup Mentor
Bluefields Aceleradora [05/2019-Present]
Artificial intelligence mentoring.
Head of Artificial Intelligence
IA para Médicos [06/2018-Present]
- • Editor of Artificial Intelligence Futurism news applied to Medicine
- • Workshops about productionizing AI projects
Artificial Intelligence Coordinator
GeekVision - Clinical Hospital, University of São Paulo [05/2017-Present]
- • Supports AI innovation at University of São Paulo's Ophthalmology Clinics Hospital
- • Implemented Convolutional Neural Networks to assist low vision patients on identifying chosen elevators
- • Developed an Eye Drops Identifier with RetinaNet
- • Implemented Dashboards integrated with non relational databases to structure clinics data and deliver on a mobile solution
- • Developed a Dry-Eye disease solution with Neural Networks on Smartphones
Previous roles
Data & Analytics Management
iFood Pago [07/2024-02/2025]
- • Management of transactional data ingestion into the Data Lake using AWS DMS, S3 and PySpark
- • Continuous optimization of Data Lake jobs with AWS EMR and Glue
- • Creation of interactive dashboards for general analysis, anti-money laundering (AML) and fraud detection
Head of Data & Analytics
Zoop [11/2022-07/2024]
- • Data Lake expansion
- • Built data products
- • Data contracts and data quality
Senior Vice President of Data Science and Analytics
Captalys [08/2020-10/2022]
- • Structured the areas and set up the Analytics, BI, Data Science, Portfolio Monitoring and Data Engineering teams
- • Led the transformation of the company into an AI-Ready company
- • Implemented: the Data Lake, the Machine Learning model deployment environment, GraphQL to unify the API queries and the models documentation
- • Designed systems focused on scale, reproducibility and automation
Lead Data Scientist
NTT DATA [08/2019-07/2020]
- • Planned and executed large data science projects
- • Organized the career development of the Data Scientists at the company
- • Participated in management meetings to help establish data roadmap and strategies
- • Built a great team by both recruiting great talent and helping them grow
- • Implemented DataPrivacyOps with Federated Learning, Differential Privacy and Multi-party Computation
Data Scientist
NTT DATA [08/2017-08/2019]
- • Coordinated NTT DATA Machine Learning Community Americas
- • Led the Data Science team on publishing research papers
- • Spread AI culture and helped attracting more talent to the company
- • Supervised Neural Networks architecture framework implementation
- • GAN architectures for data augmentation
- • Automatic documents classification with ELMO + BI-LSTM + CNN + CRF
- • Developed a hybrid model for Automated Offline Handwritten Signature Verification on checkbooks using Convolutional Networks
- • Stock price estimation using LSTM + Attention
- • Object Detection, Recognition and Segmentation
- • Face Recognition, Alignment and De-identification
- • Developed a pedestrian tracking surveillance on Raspberry Pi 3
- • Developed a Retrieval-based banking chatbot on Facebook Messenger with Tensorflow
Statistician
NIC.br [01/2016-08/2017]
- • Developed an automated and optimized system focused on ensuring Brazil's complex Internet Traffic Measurement System database
- • Implemented prototypes of Disclosure Control Methods for MicroData databases
Statistical Analyst
Fundação Getúlio Vargas [01/2014-12/2015]
- • Created the sentiment analysis model for political debate in social media
- • Developed a spam filtering machine learning model applied to text data and Twitter account attributes
- • Co-implemented social network graphs framework, which illustrated major national and international newspapers, covers such as the Financial Times
- • Co-implemented a Bayesian spatial model using Twitter data applied on calculating ideological ideal points for legislative actors in Brazil
Trainee
Fundação Getúlio Vargas [2013-2014]
- • Developed a social Twitter bots identifier through NLP methods and model ensembling
- • Co-implemented social network graphs framework using Gephi and R packages
- • Created R Shiny visualisations for Urban Mobility
Co-founder
estatisti.CO [12/2012-12/2013]
In 2012 he co-founded www.estatisti.co, a statistics website with news, career tips, Big Data, theoretical statistics, scientific articles, biographies and job openings. It quickly became one of Brazil's best-known statistics websites.
External Journalism Operator
Rede Globo [07/2008-09/2009]
Acted in aid of adjustment of satellite signals from mobile units of telejournalism, color correction, equipment assembly and lighting for journalism outdoors production.
Competitions
Kaggle
- 46th place, top 15% of the initial 300 teams · HOD26 Track 1, Hyperspectral Object Detection Challenge 2026. Official result
- 148th of 2,023, bronze medal · PetFinder.my Adoption Prediction
- 1,776th of 9,038 · Santander Customer Transaction Prediction
- Top 13.1% of 4,020 teams (preliminary) · Biohub: Cell Tracking During Development, team DataRockstar with Pedro Henrique Ferreira Amaro. Competition
- 666th of 3,835 · Mercedes-Benz Greener Manufacturing
- 838th of 2,931 · APTOS 2019 Blindness Detection
Hackathons & challenges
- Gold medal · OftalmoHack, FMUSP (2025)
- AI Mentor · HackHealthTech (2021)
- Global finalist · NTT DATA Hackathon (2018)
- Semifinalist · Data For Climate Action, UN Global Pulse (2017)
- Rio de Janeiro semifinalist · SEBRAE Challenge (2012)
Topic Group Memberships
AI For Health: Artificial Intelligence for Ophthalmology
I.T.U./W.H.O. [09/2019-11/2022]
Academic Background
Universities
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| Institution | Program | Year |
|---|---|---|
| University of São Paulo, Medical School(FMUSP-HC) | PhD in Ophthalmological Medical Sciences | 2024-2029 |
| University of Mannheim [Incomplete] | MS in Survey and Data Science | 2019 |
| National School of Statistical Sciences | B.S. in Statistics | 2010-2015 |
| State Technical School Henrique Lage | Electronics Technician | 2007 |
Technical Skills
Additional Activities
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| Activity | Institution | Year |
|---|---|---|
| Focus Group - Technical Course in Data Science | São Paulo State Department of Education | 2024 |
| Special Student - Algorithm Analysis | University of São Paulo | 2016 |
Tools
Languages
Certifications
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| Title | Provider | Year |
|---|---|---|
| Turnitin Self-Check Training | Turnitin | 2025 |
| AI for Everyone | Coursera | 2019 |
| Survey Skills Development Course | Brazilian Institute of Geography and Statistics | 2016 |
| Big Data in Healthcare | Coursera - University of São Paulo | 2015 |
| Laboratório - RJ | Fundação Estudar | 2015 |
| Machine Learning | Coursera - Stanford University | 2014 |
| The Data Scientist's Toolbox | Coursera - Johns Hopkins University | 2014 |
| Practical Machine Learning | Coursera - Johns Hopkins University | 2014 |
| Data Analysis with R | Udacity - Johns Hopkins University | 2014 |
| Statistical Methods for Disclosure Control | Brazilian Institute of Geography and Statistics | 2012 |
Research Grants
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| Title | Provider | Year |
|---|---|---|
| Hyperspectral Biology Grant (US$2,500), HyperMix project: open benchmark published, with a permanent DOI. | Experiment Foundation | 2026 |
| Milu Villela grant ($ 500 USD) | TVST | 2021 |
| Knights Templar Eye Foundation Travel Grant ($ 1,110 USD) | ARVO | 2020 |
| Tools for Formatting and Validation of Research Microdata | CNPq PIBIC | 2012 |
Recognition & Publications
Awards
2nd place · UN Youth Hackathon 2021
Team Data Rockstars · December 2021 edition; award presented in January 2022.
Most Valuable Professional
NTT DATA, 2018
TOP 46 - Valuable Young Leader
Harvard Business Review, 2018
Research Reports
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| Title | Institution | Year |
|---|---|---|
| Assessing the Statistical Abilities of GPT-4 as a Zero-shot Reasoner: Strengths and Weaknesses Co-author · preprint, not peer reviewed by a journal. Douglas Costa, João Dias, Celso Nakano, Mario Luiz Monteiro. DOI: 10.21203/rs.3.rs-2958780/v1. | Research Square | 2023 |
| HyperMix: open detection of engineered biosignatures in remote hyperspectral imagery (open-source MIT software, DOI 10.5281/zenodo.21799951, available on PyPI) | Zenodo | 2026 |
| Strabismus and Artificial Intelligence App: Optimizing Diagnostic and Accuracy | TVST | 2021 |
| A polícia e os 'black blocs'. A percepção dos policiais sobre junho de 2013 | FGV/DAPP | 2014 |
| Mobilidade urbana e cidadania: percepções dos usuários de transporte público no Brasil | FGV/DAPP | 2014 |
Press
Podcast: How AI is Rapidly Accelerating the Growth of Small Businesses
Rede Tela, 2025
Podcast: The Future is Here! Is Your Company Ready for AI?
Rede Tela, 2025
How do data driven companies monetize their data?
Chief Data & Analytics Officer Brazil, 2021
Podcast: What is A.I.?
IPP - Radio Pinheiros, 2019
Grandes artistas na oftalmologia
Revista Universo Visual, 2018
Brazil's election: as polarised as can be
Financial Times, 2014
What does a Statistician do?
Rádio Família 104.5fm, 2013
Contributions to Cetic.br publications
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| Title | Year |
|---|---|
| ICT IN HEALTH 2016 | 2017 |
| ICT IN HEALTH 2015 | 2016 |
| ICT HOUSEHOLDS 2016 | 2017 |
| ICT HOUSEHOLDS 2015 | 2016 |
| ICT ENTERPRISES 2015 | 2016 |
| ICT IN EDUCATION 2016 | 2017 |
| ICT IN EDUCATION 2015 | 2016 |
| ICT KIDS ONLINE BRAZIL 2016 | 2017 |
| ICT KIDS ONLINE BRAZIL 2015 | 2016 |
| ICT NONPROFIT ORGANIZATIONS 2016 | 2017 |
| ICT IN CULTURE 2016 | 2017 |
| CULTURA E TECNOLOGIAS NO BRASIL | 2017 |
| ICT ELECTRONIC GOVERNMENT 2015 | 2016 |
| ICT PROVIDERS 2014 | 2015 |
Conferences, Talks & Teaching
Conferences
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| Title | Conference | Year |
|---|---|---|
| Invited Session - Offline Signature Recognition with Machine Learning | 11th IASC-ARS Conference | 2019 |
| Tools for Formatting and Validation of Research Microdata | 21º SINAPE | 2014 |
Talks & Panels
Speaker and discussant — Special AI Program; DryLab coordinator — How can I apply AI in my practice?
70th Brazilian Congress of Ophthalmology · Salvador, September 9–10, 2026
Speaker — How to train your algorithm
Introduction to Ophthalmology Course · HC-FMUSP, March 18, 2022
Webinar: The New Lean Startup
FIAP, 2025
Webinar: What's Coming and What's Already Reality in Medical Offices
BRASCRS, 2025
Panel: AI and the Future of Ophthalmology
OftalmoHack, 2025
Talk: The History of Artificial Intelligence
XXXI International Symposium of Ophthalmology, 2025
Panel: AI in Business and Purpose-Driven Work
Igreja Butantã, 2025
Risks and Opportunities for Privacy and AI Marketing
Jacto, 2024
Data Privacy Ops and GDPR
CIAB, 2020
AI for Strabismus
ARVO, 2020
Tracking Systems for Banking Sector
CIAB, 2018
IX International Life Sciences Institute Congress
ILSI, 2018
Congresses
Brazilian Congress of Ophthalmology 2024 - Brasília CBO, 2024
IT congress for financial institutions CIAB, 2018
60th ISI World Statistics Congress ISI, 2015
Symposia
Innovations and AI in Ophthalmology XXXI SIOJT, 06/2025
Use of AI to develop diagnostic tools for assessing patients with Thyroid Eye Disease USP Eye Research Symposium, 09/2024
Web Scraping as alternative data sources to predict E-Commerce indicators StatCan International Methodology Symposium, 2018
Workshops
Coordinated WetLab - Development of Artificial Intelligence Models
Brazilian Congress of Ophthalmology, 2025
Intro to LLMs and RAGs - 7th Week of Scientific Initiation
IBGE, 2024
No Code AI
XIII SBO, 2022
DRY AI - A mobile app to assist physicians on assessment of dry eye
ARVO Learn, 2019
VII NIC.br Annual Workshop on Survey Methodology
NIC.br, 2017
VI NIC.br Annual Workshop on Survey Methodology
NIC.br, 2016
Seminars
AI, Privacy and Open Banking
Bradesco Innovation Day, 2020
Meetups
Speaker — 17 years of Computer Vision in 30 minutes NerdZão #23: Artificial Intelligence · January 31, 2018
Reproducing papers and evaluating benchmarks in the pre-training of Language Models in Portuguese Santander Meetups, 2019
DataOps Frameworks Itaú Meetups, 2019
Teaching
Vertical AI in Marketing ESPM, 2025
Vertical AI Mackenzie University, 2025
Telemedicine applied to Ophthalmology FM-USP, MOF-5770-31, 2024/03/14
AI in scientific research. For PhD students only FM-USP, MOF-5741, 2024/10/02
Innovation Class in Ophthalmology: How to train your algorithm USP HC, 2023
Introduction to Neural Networks Captalys, 2021
Innovation Class in Ophthalmology: ML for Physicians USP HC, 2020
Statistical Power for Data Scientists NTT DATA, 2019
Innovation Class in Ophthalmology: How to train your algorithm USP HC, 2019
The Grammar of Graphics NTT DATA, 2019
Data Visualization with Python and R NTT DATA, 2019
Introduction to Neural Networks NTT DATA, 2018
Machine Learning Hands-On NTT DATA, 2018
Convolutional Neural Networks NTT DATA, 2018
Introduction to TensorFlow Mackenzie, 2017