Liam Burke
Research Analyst at APPIAN WAY ENERGY PARTNERS, LLC
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolLiam Burke is a Research Analyst based in Cambridge, MA with nine years of experience turning messy problems into actionable insights using R, R Shiny, SQL, Python, Git, and Tableau. An economics graduate (Magna Cum Laude), he blends rigorous quantitative thinking with practical data engineering—building pipelines and Shiny dashboards that drive revenue and operational decisions at startups and energy firms. His open-source contributions to the PEcAn Project reflect backend innovation in ecological bioinformatics, including functions to fetch data via DOIs from the DataONE federation. Comfortable working across academia, startups, and corporate environments, he pairs analytical depth with product-focused delivery. Outside analytics he has led and managed professional jazz ensembles, a background that surfaces in his collaborative leadership and client-facing communication.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Economics, 3.70, Magna Cum Laude, Bachelor of Arts - BA, Economics, 3.70, Magna Cum Laude at Boston University
English, French
Github Skills (7)
r10
data-retrieval10
api-design9
data-management9
api9
apim9
bayesian6
Programming languages (2)
Github contributions (5)
PecanProject/pecan
Jul 2017 - Aug 2018
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:343 commits, 21 PRs, 3 branches in 1 year 1 month
Contributions summary:Liam's contributions primarily involved developing utility functions for querying and downloading data from the dataONE federation within the context of the Predictive Ecosystem Analyzer (PEcAn) project. The code modifications included creating functions to identify if data can be retrieved by a digital object identifier (DOI) and functions for downloading the data using a resource map. The work focuses on building tools for data management and retrieval within the PEcAn framework, reflecting a back-end development focus.
forecastingplantspecanbioinformaticscyberinfrastructure
LiamBurke24/pecan
Jul 2017 - Aug 2018
The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.
Contributions:2 PRs, 95 pushes, 11 branches in 1 year 1 month
integratedtoolboxpecanmeta-analysispredictive
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