cv
See the PDF for my most complete CV!
Basics
| Name | Owen K.Hughes |
| Label | Atmospheric Scientist |
| owhughes@umich.edu | |
| Url | https://owenhughes.org |
| Summary | A computational atmospheric scientist working from weather to decadal timescales. |
Work
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2025.04 - 2025.07 Graduate Visitor Program
NSF National Center for Atmospheric Research, Boulder, Colorado
Ported my NHD HOMME model to the Stormspeed fork of the Community Earth System Model, working under Dr. Peter Lauritzen
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2020.05 - 2022.09 Undergraduate Research Assistant
University of Michigan, Ann Arbor, Michigan
Developed a novel idealzed dynamical core test case to validate interactions between topography and precipitation.
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2020.05 - 2022.09 Graduate Student Research Assistant,
University of Michigan, Ann Arbor, Michigan
Ph.D. work advised by Professor Christiane Jablonowski
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2019.06 - 2019.08 Undergraduate Research Program Fellow
Cold Spring Harbor Laboratory, Cold Spring Harbor, New York
Helped develop an interpretable machine learning model to learn Langevin-based models of neuronal dynamics.
Volunteer
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2025.06 - 2025.06 Boulder, CO, USA
Co-organizer
2025 Dynamical Core Model Intercomparison Project (DCMIP)
Helped organize the 2025 Dynamical Core Model Intercomparison Project (DCMIP) workshop.
Education
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2022.09 - Present Ann Arbor, MI, USA
PhD
University of Michigan
Atmospheric Science
- Studied the dynamics of the deep atmosphere in the HOMME dynamical core.
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2017.09 - 2022.05 Ann Arbor, MI, USA
B.S.
University of Michigan
Honors Mathematics
- Studied a combination of rigorous mathematical analysis and numerical methods.
Awards
- 2022
NSF Graduate Research Fellowship Honorable Mention
National Science Foundation
The NSF GRFP recognizes and supports outstanding graduate students in NSF-supported STEM disciplines
Publications
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2023.23.01 Mountain-Induced Moist Baroclinic Wave Test Case for the Dynamical Cores of Atmospheric General Circulation Models
Geoscientific Model Development
A novel test case for atmospheric dynamical cores, which validates the correct behavior of moist processes with idealized topography.
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2023.07.13 The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results.
Geoscientific Model Development
Validation of a regionally refined configuration of the Energy Exascale Earth System Model (E3SM) version 2
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2021.10.13 Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories.
Nature Communications
A machine learning framework for learning interpretable Langevin models of neuronal dynamics from spike train data.
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2017.10.01 Real-Time Certified Probabilistic Pedestrian Forecasting
IEEE Robotics and Automation Letters
An optimization algorithm for real-time probabilistic forecasting of pedestrian trajectories with formal safety guarantees.
Skills
| Weather and Climate Modeling | |
| Computational earth system modeling | |
| High resolution earth system modeling | |
| Community Earth System Model (CESM) | |
| Energy Exascale Earth System Model (E3SM) |
| High Performance Computing | |
| Distributed memory parallelism | |
| Performance portable code | |
| GPU parallelism | |
| Parallel testing and debugging |
Languages
| C++ | |
| Highly Capable |
| Python | |
| Extremely capable |
| Jax | |
| Capable |
| Fortran | |
| Highly capable |
| Rust | |
| Capable |
| Cuda | |
| Capable |
| MPI | |
| Capable |
| Haskell | |
| Capable |
Interests
| Atmospheric Science | |||||
| Intermediate-complexity test cases for Atmospheric General Circulation Models | |||||
| Dynamics of the deep atmosphere; impact of the non-traditional Coriolis terms. | |||||
| High-resolution climate modeling in CESM and E3SM | |||||
| Uncertainty Quantification in Earth System Models | |||||