Juliane Mai, PhD

computational hydrology | model analysis
data dissemination | data management

What I am passionate about...

I began my career as an applied mathematician, specializing in optimization, model calibration, and sensitivity analyses of environmental models using high-performance computing. Over the years, I developed innovative modeling techniques, including the "blended" modeling approach. My work also expanded into managing and disseminating large-scale environmental data, building tools that make complex datasets accessible and usable.

Today, I apply this expertise in industry as a software developer at ATS Corporation, helping create automation software solutions that streamline processes and improve efficiency. I continue to focus on designing user-friendly tools that make data and models more actionable, building on my past work with platforms like HydroHub and Poseidon. When I'm not developing software, you can find me bouldering, hiking, snowshoeing, or exploring the outdoors.

Curriculum Vitae

Projects & Products

Some highlights of the last years

Talks & Conferences Latest publications Contact me

Basin Fabric

Large-scale hydrologic data and models

Blended Model

Novel hydrologic modeling approach

xSSA-NA

Sensitivity analysis over North America

HydroHub

Platform to share and visualize data

GRIP-E & GRIP-GL

Model intercomparison studies

CaSPAr

Canadian Surface Prediction Archive

HFE toolkit

Python toolbox to analyse flood events

Ostrich

Calibration crash course

EEE

Efficient parameter screening

Publications

Mai, J. (2023):
Ten strategies towards successful calibration of environmental models
Journal of Hydrology, 620(A), 129414. Accepted Mar 15, 2023.

full text (url) | data and codes (Zenodo)

Mai, J., Shen, H., Tolson, B. A., Gaborit, É., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Rasiya Koya, S., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., and Waddell, J. W. (2022):
The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL)
Hydrol. Earth Syst. Sci., 26, 3537–3572. Highlight paper. Accepted Jun 10, 2022.

full text (url) | data (FRDR) | interactive website

Mai, J., Craig, J. R., Tolson, B. A., and R. Arsenault (2022):
The sensitivity of simulated streamflow to individual hydrologic processes across North America.
Nature Communications, 13, 455. Accepted Jan 3, 2022.

full text (url) | code (GitHub) | interactive website

More publications

Conferences

Talk