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JV↗JOÃO VICTOR DIAS
PT
contato@iaparamedicos.com.br

Curriculum Vitae

João Victor Pacheco Dias

Statistician · AI applied to healthcare · PhD candidate at HC-FMUSP

João Victor Pacheco Dias
Quick BIO

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.

Portfolio

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.app

BlinkTracking 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.app

Academic 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.br

Format 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.app

Fintech Background

SmartFin

AI financial copilot for income statement, cash flow and balance sheet analysis via WhatsApp. Finalist of the 2025 Fintech Award.

smartfin.ai

Wings Group AI: Holding company unifying all initiatives -wingsgroup.ai

Experience

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.

ARB

Partner & 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]
Education

Academic Background

Universities

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InstitutionProgramYear
University of São Paulo, Medical School(FMUSP-HC)PhD in Ophthalmological Medical Sciences2024-2029
University of Mannheim [Incomplete]MS in Survey and Data Science2019
National School of Statistical SciencesB.S. in Statistics2010-2015
State Technical School Henrique LageElectronics Technician2007

Technical Skills

Computer VisionPredictive ModellingMachine LearningLLMsTeam CoordinationData Visualisation

Additional Activities

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ActivityInstitutionYear
Focus Group - Technical Course in Data ScienceSão Paulo State Department of Education2024
Special Student - Algorithm AnalysisUniversity of São Paulo2016

Tools

PyTorchTensorflowScikit-LearnKerasSciPyNumPyNLTKUnixGitRaspberry PiTransformersAgileGephiOpenCV

Languages

PortugueseNative
EnglishFluent
SpanishBeginner
JapaneseBeginner

Certifications

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TitleProviderYear
Turnitin Self-Check TrainingTurnitin2025
AI for EveryoneCoursera2019
Survey Skills Development CourseBrazilian Institute of Geography and Statistics2016
Big Data in HealthcareCoursera - University of São Paulo2015
Laboratório - RJFundação Estudar2015
Machine LearningCoursera - Stanford University2014
The Data Scientist's ToolboxCoursera - Johns Hopkins University2014
Practical Machine LearningCoursera - Johns Hopkins University2014
Data Analysis with RUdacity - Johns Hopkins University2014
Statistical Methods for Disclosure ControlBrazilian Institute of Geography and Statistics2012

Research Grants

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TitleProviderYear
Hyperspectral Biology Grant (US$2,500), HyperMix project: open benchmark published, with a permanent DOI.Experiment Foundation2026
Milu Villela grant ($ 500 USD)TVST2021
Knights Templar Eye Foundation Travel Grant ($ 1,110 USD)ARVO2020
Tools for Formatting and Validation of Research MicrodataCNPq PIBIC2012
Media

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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TitleInstitutionYear
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 Square2023
HyperMix: open detection of engineered biosignatures in remote hyperspectral imagery (open-source MIT software, DOI 10.5281/zenodo.21799951, available on PyPI)Zenodo2026
Strabismus and Artificial Intelligence App: Optimizing Diagnostic and AccuracyTVST2021
A polícia e os 'black blocs'. A percepção dos policiais sobre junho de 2013FGV/DAPP2014
Mobilidade urbana e cidadania: percepções dos usuários de transporte público no BrasilFGV/DAPP2014

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

What does a Statistician do?

Rádio Família 104.5fm, 2013

Contributions to Cetic.br publications

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TitleYear
ICT IN HEALTH 20162017
ICT IN HEALTH 20152016
ICT HOUSEHOLDS 20162017
ICT HOUSEHOLDS 20152016
ICT ENTERPRISES 20152016
ICT IN EDUCATION 20162017
ICT IN EDUCATION 20152016
ICT KIDS ONLINE BRAZIL 20162017
ICT KIDS ONLINE BRAZIL 20152016
ICT NONPROFIT ORGANIZATIONS 20162017
ICT IN CULTURE 20162017
CULTURA E TECNOLOGIAS NO BRASIL2017
ICT ELECTRONIC GOVERNMENT 20152016
ICT PROVIDERS 20142015

Social Media

Academic Activities

Conferences, Talks & Teaching

Conferences

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TitleConferenceYear
Invited Session - Offline Signature Recognition with Machine Learning11th IASC-ARS Conference2019
Tools for Formatting and Validation of Research Microdata21º SINAPE2014

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