Lucas聽Bulgarelli
Senior Data Scientist & Engineer
United States
Summary
馃ぉ
Rockstar馃帗
Top SchoolLucas Bulgarelli is a Senior Data Scientist & Engineer with a decade of experience building clinical data infrastructure and medical AI systems that prioritize data provenance and integrity. He helped author and maintain the widely used open-access MIMIC clinical database and contributed database engineering optimizations to the MIT-LCP/mimic-code repository, improving PostgreSQL schemas, constraints, and indexes that underpin thousands of research studies. Lucas has led data science teams and engineering efforts across academia, hospitals, and startups鈥攄esigning deidentification models (including transformer-based approaches), federated clinical data platforms, and cloud-native pipelines for precision medicine. Currently at Cincinnati Children鈥檚 and a long-standing affiliate at MIT鈥檚 Laboratory for Computational Physiology, he combines hands-on engineering with mentorship and cross-institutional collaboration. A less obvious strength is his track record of turning hospital EHR complexity into reusable, open datasets and tooling that accelerate global medical research.
10 years of coding experience
7 years of employment as a software developer
Bachelor鈥檚 Degree, Computer Science, Bachelor鈥檚 Degree, Computer Science at Lewis and Clark CollegeHigh School & Technical Degree, Computer Science, High School & Technical Degree, Computer Science at ETEC Jorge StreetMackenzie Presbyterian University
Portuguese, English, Spanish
Github Skills (7)
postgresql10
indexer10
indexing10
sql10
database-design10
mi9
data-modeling9
Programming languages (6)
Github contributions (5)
MIT-LCP/mimic-code
Oct 2019 - Nov 2020
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:6 commits, 3 PRs, 4 branches in 1 year 1 month
Contributions summary:Lucas's contributions focused on database schema modifications and optimizations for a PostgreSQL database. They implemented primary and foreign key constraints to enforce data integrity. The user also created and optimized indexes to improve query performance, including adding indexes on key columns and frequently queried fields across several tables. These changes specifically targeted the MIMIC-III database structure.
databasedatabasesmimic-iiicritical-careicu
lbulgarelli/lbulgarelli.github.io
Sep 2020 - Feb 2026
Contributions:7 PRs, 54 pushes, 4 branches in 5 years 6 months
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