Lijing Wang
Assistant Professor at University of Connecticut
Mansfield, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolLijing Wang is an Assistant Professor and former Stanford Ph.D. candidate who applies data-driven and Bayesian methods to make groundwater exploration and management more efficient and sustainable. With a decade of experience spanning academia, national labs, and industry collaborations (including Berkeley Lab and Total), she specializes in geomodelling from electromagnetic imagery using computer vision and rigorous uncertainty quantification for reservoir prediction and decision making. She teaches and designs data science curricula for geoscience audiences and has mentored across programs like Stanford Data Science for Social Good and Frontier Development Lab. Her background in applied mathematics, space physics, and a CS minor informs a rare blend of statistical rigor, machine learning, and domain knowledge in subsurface hydrology. Colleagues note she bridges model-data integration in practice — turning noisy geophysical measurements into actionable, uncertainty-aware groundwater strategies.
10 years of coding experience
7 years of employment as a software developer
Summer Session Statistics, Summer Session Statistics at University of California, BerkeleyHong Kong University of Science and Technology (HKUST)Bachelor of Science (B.S.) Applied Mathematics, Bachelor of Science (B.S.) Applied Mathematics at Peking UniversityDoctor of Philosophy - PhD Earth and Planetary Sciences, Doctor of Philosophy - PhD Earth and Planetary Sciences at Stanford University
Chinese, English
Github Skills (23)
parameter-estimation6
type-mapping6
simulations5
python5
simulation4
pytorch4
machine-learning4
bayesian-inference4
hyper3
julia3
inference3
ats3
simulator2
chemical-engineering2
scientific-computing2
Programming languages (3)
Github contributions (5)
lijingwang/lijingwang.github.io
Mar 2021 - Feb 2023
Contributions:87 commits, 135 pushes in 1 year 10 months
lijingwang/DataScienceForGeosciences
Dec 2020 - Aug 2022
Contributions:123 commits, 119 pushes in 1 year 8 months
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