Juan Alvarez
Research Coordinator
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolJuan Alvarez is a research coordinator and environmental health scientist with 11 years of experience translating large epidemiological datasets into actionable insights for overburdened communities. He combines fieldwork and community outreach—measuring lead exposure in children and conducting door-to-door risk communication—with advanced analytic skills developed through MPH and ongoing PhD training at UTHealth. At Baylor College of Medicine he manages multidisciplinary studies linking physical and air quality exposures to health disparities, and his background at state and federal agencies (Texas DSHS, CDC) informs pragmatic public health interventions. Unusually for an environmental researcher, he has contributed back-end fixes to a high-profile open-source trading engine, demonstrating rigorous debugging, refactoring, and data-handling skills that transfer to complex data systems. He is focused on risk assessment and toxicology to inform safer worksites and sustainable community policy.
11 years of coding experience
2 years of employment as a software developer
Master of Public Health (M.P.H.), Border Health, Master of Public Health (M.P.H.), Border Health at The University of Texas at El PasoDoctor of Philosophy - PhD, Environmental Health, Doctor of Philosophy - PhD, Environmental Health at The University of Texas Health Science Center at Houston (UTHealth) School of Public Health
English, Spanish
Github Skills (11)
algorithm10
finance10
algorithms10
engine10
tradingview10
trading-algorithms10
csharp10
trading10
algorithmic-trading10
dotnet-core10
python5
Programming languages (3)
Github contributions (5)
QuantConnect/Lean
Feb 2016 - Mar 2016
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 6 PRs, 9 comments in 18 days
Contributions summary:Juan primarily contributed to the back-end functionality of the Lean algorithmic trading engine. Their work included refactoring code to remove unnecessary dependencies, such as a MySQL reference, and fixing critical bugs related to data handling, specifically the generation of incorrect file paths for daily data. The user also made improvements related to how the system processes and handles financial data, particularly regarding writing bars with high cash amounts to CSV files and general code improvements for the system. Additionally, the user addressed updates to the application's configuration and improved the testing of core components.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
naicigam/Primary.Net
Jun 2019 - Jan 2023
.NET friendly interface to interact with the Primary API.
Contributions:18 releases, 240 commits, 65 PRs in 3 years 7 months
apidotnetfriendly-interfaceinteract
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