LabCompass

Di Qi

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2014Rising activity
Fluid Dynamics and Turbulent FlowsMeteorological Phenomena and SimulationsModel Reduction and Neural NetworksClimate variability and modelsMagnetic confinement fusion research

Publications

68

Citations

867

Est. group size

—

Recurring co-author estimate

Active years

13

Publishing since 2014

Research summary
AI-generated

Di Qi works on the mathematics and computation of complex turbulent and multiscale systems, including methods for predicting extreme events, data assimilation (combining models with observed data to improve forecasts), and statistical modeling of chaotic fluid and climate-like systems. Much of the work develops mathematical and machine-learning tools to make forecasting and uncertainty quantification more efficient for systems such as turbulent flows, plasma dynamics, and simplified climate models.

Turbulence and extreme eventsData assimilation and forecastingMultiscale and reduced-order modelingStatistical and stochastic methods for dynamical systemsPlasma and geophysical fluid dynamics

Publication output has fluctuated over the last decade, with a notable peak in 2023 and relatively steady activity averaging about 6 papers per year over the last 5 years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 4 publications172018: 7 publications182019: 10 publications192020: 5 publications202021: 3 publications212022: 3 publications222023: 12 publications12232024: 5 publications242025: 7 publications252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×10
  • Physics of Plasmas×4
  • Proceedings of the National Academy of Sciences×3
  • Journal of Nonlinear Science×3
  • Chaos An Interdisciplinary Journal of Nonlinear Science×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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