Frances Lin
Doctoral Researcher at Oregon State University
Corvallis, Oregon, United States
Summary
👤
Senior🎓
Top SchoolFrances Lin is a PhD-level statistician and software engineer with eight years of experience bridging Bayesian time-series modeling and practical machine learning implementations. Currently a doctoral researcher at Oregon State University, she compares Bayesian generative MTD models with deep learning LSTMs for forecasting, bringing rigorous probabilistic thinking to applied forecasting problems. She has consulting experience across experimental design, spatial-temporal modeling, and classical statistical testing, and contributed to the Tidymodels ecosystem during a software engineering internship at Posit. Comfortable in R and Python, Frances combines academic rigor (multiple advanced degrees in statistics) with hands-on engineering in open-source ML tooling, making her adept at turning complex statistical models into usable software. An early background in earth and space sciences and coursework in math and CS gives her interdisciplinary perspective that helps translate domain problems into statistical solutions.
8 years of coding experience
Non-Matriculated Status, Mathematics, Computer Science, Non-Matriculated Status, Mathematics, Computer Science at University of WashingtonMaster of Applied Statistics (MAS), Applied Statistics, 4.0, Master of Applied Statistics (MAS), Applied Statistics, 4.0 at Colorado State UniversityDoctor of Philosophy (PhD), Statistics, 3.68, Doctor of Philosophy (PhD), Statistics, 3.68 at Oregon State University
English, Chinese, French, Mandarin
Github Skills (2)
react5
nextjs4
Github contributions (5)
franceslinyc/Big-Data-Analysis-of-NYC-Trip-data-2021
Mar 2021 - Mar 2023
Contributions:6 pushes in 2 years
franceslinyc/Programming-Exercises-in-R
Aug 2019 - Sep 2020
Contributions:13 pushes, 1 branch in 1 year 1 month
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