Zhongrun Xiang
Principal Data Scientist
Rockville, Maryland, United States
Summary
👤
Senior🎓
Top SchoolZhongrun Xiang is a Principal Data Scientist with a Ph.D. in Civil and Environmental Engineering and over a decade of experience applying machine learning and deep learning to geospatial and time-series problems. He has a strong academic record—multiple advanced degrees including a Master of Computer Science—and published peer-reviewed work on spatial-temporal modeling and flood prediction using LSTM and other deep architectures. At Capital One he applies his expertise to NLP while bridging research-grade modeling with production needs, reflecting a rare combination of environmental science domain knowledge and applied ML engineering. His PhD work includes distributed long-term streamflow prediction and regional semi-distributed models, demonstrating skill in scaling models across space and time. Colleagues value his ability to translate complex hydrologic science into reproducible, standards-based artifacts (e.g., flood markup language) that support cross-disciplinary communication. Based in Rockville, MD, he brings both rigorous research pedigree and practical delivery experience to data-driven products.
10 years of coding experience
Bachelor of Science (BS), Environmental Science, Bachelor of Science (BS), Environmental Science at China Pharmaceutical UniversityThe University of Maryland, College ParkMaster of Science - MS, Business Administration and Management, Master of Science - MS, Business Administration and Management at University of Illinois Urbana-ChampaignMaster of Computer Science, Computer Science, 3.9/4.0, Master of Computer Science, Computer Science, 3.9/4.0 at University of IowaBachelor of Science (BS), Environmental Science, 3.5/4.0, Bachelor of Science (BS), Environmental Science, 3.5/4.0 at Troy University
Github Skills (8)
alpaca6
nlp5
plm5
lora4
quantization3
large-language-models3
llm2
llama2
Programming languages (1)
Github contributions (5)
uihilab/HydroLSTM
Dec 2020 - Jan 2022
Contributions:19 commits, 10 pushes in 1 year 1 month
uihilab/WaterBench
Jun 2021 - Sep 2022
A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting
Contributions:11 commits, 1 PR, 5 pushes in 1 year 2 months
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