Nick Rong
Research Scientist at Knight Piésold / UBC Forest Hydrology
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolNick Rong is a Research Scientist and registered P.Geo. with 11 years of experience specializing in hydrometeorology, rainfall-runoff modeling, and climate-driven flood risk for mining and hydroelectric projects across BC, Yukon, Ontario, California, and South America. Based in Vancouver, he combines academic rigour from UBC and SFU with consulting practice from pre-feasibility studies through operational compliance, delivering baselines, automated monitoring workflows, and advanced statistical analyses. His graduate work on environmental controls of rain-on-snow floods in the Pacific Northwest informs practical project decisions and expert-witness work in flood hydrology. A proficient R programmer and data manager, he automates complex environmental analyses and monitoring pipelines to improve reproducibility and efficiency. Colleagues know him for translating nuanced climate–hydrology interactions into actionable, auditable deliverables for regulators and industry.
11 years of coding experience
3 years of employment as a software developer
BrainStationGraduate student, Graduate student at The University of British ColumbiaBachelor of Science Honours, Bachelor of Science Honours at Simon Fraser University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
weather-data10
weather9
relation9
frequency-analysis8
water8
era58
dos7
csv6
watershed6
parsing6
shiny6
r6
modeling5
spatial5
survey5
Programming languages (2)
Github contributions (5)
nickyrong/ShinyCFA
Oct 2019 - Jan 2023
Shiny app for quick data screening & flood frequency analysis on HYDAT dataset (Water Survey Canada streamflow data). The name CFA is in recognition of the old Consolidated Frequency Analysis tool published in the MS-DOS era but the two have no relation.
Contributions:2 releases, 4 reviews, 9 PRs in 3 years 3 months
consolidatedfrequency-analysishydatsurveycfa
nickyrong/ShinyWeatherCan
Dec 2019 - Jan 2023
Allowing users to quickly download Environment Canada and Climate Change (ECCC)'s historical weather data & perform a quick data completeness screening. Infilling ERA5-land reanalysis data (temperature and precipitation only) with automated Quantile Mapping bias-correction.
Contributions:4 releases, 1 review, 31 commits in 3 years 1 month
era5ecccweathercanweather-dataenvironment-canada
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