CV

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Work experience

• Postdoc, Princeton University, August 2024 - Present

Education

• Ph.D. in Atmospheric and Oceanic Sciences, University of Colorado Boulder, 2019 - 2024
• B.S. in Hydraulic Engineering, Tsinghua University, 2015 - 2019

Research interests

• Subseasonal forecasts (e.g., Madden-Julian Oscillation, Indian Summer Monsoon)
• Air-sea interaction
• Machine learning
• Hybrid modeling
• Extreme weather and climate
• Tropical climate variability

Publications

• Du, D., Subramanian, A. C., Han, W., Lim, Y., Hackert, E., & Molod, A., (2025). Assessing the Impact of Satellite Sea Surface Salinity Assimilation on Predicting the MJO Propagation across Maritime Continent in NASA GEOS-S2S-2 Model. Journal of Climate.
• Du, D., Subramanian, A. C., Han, W., Ninad, U., & Runge, J. (2024). Causal Analysis Discovers an Enhanced Impact of Tropical Western Pacific on Indian Summer Monsoon Subseasonal Anomalies. Geophysical Research Letters.
• Du, D., Subramanian, A. C., Han, W., Chapman, W. E., Weiss, J. B., & Bradley, E. (2024) Increase in MJO Predictability Under Global Warming. Nature Climate Change.
• Wei, H.-H., C. Subramanian, A., Karnauskas, K.B., Du, D., Balmaseda, M.A., B. Sarojini, B., Vitart, F., DeMott, C.A. & Mazloff, M.R. (2023), The role of in-situ ocean data assimilation in ECMWF subseasonal forecasts of SST and MLD over the tropical Pacific Ocean. Quarterly Journal of the Royal Meteorological Society.
• Du, D., Subramanian, A. C., Han, W., Wei, H. H., Sarojini, B. B., Balmaseda, M., & Vitart, F. (2023). Assessing the Impact of Ocean In Situ Observations on MJO Propagation Across the Maritime Continent in ECMWF Subseasonal Forecasts. Journal of Advances in Modeling Earth Systems, 15(2).

Under review:

• Du, D., Lu, F., Adcroft, A. (2026). Reducing Model Biases with Machine Learning Corrections Derived from Ocean Data Assimilation Increments. Journal of Advances in Modeling Earth Systems.
• Yin, Z., Subramanian, A. C., Datta, R., Herrington, A. R., Du, D., Ali, S., Faruque, O., Wang, J. (2026). Identifying Energy Balance Drivers and Feedbacks of Greenland Ice Sheet Surface Melt Using Causal Discovery. Geophysical Research Letters.
• Zanna, L., Gregory, W., Perezhogin, P., Sane, A., …, Du, D., … (2026). A Framework for Hybrid Physics-AI Coupled Ocean Models. Science Advances.

Services

• Mentor for an undergrad student on Earth System Meridional Heat Transport, 2024 - Present
• Mentor for an undergrad student on the topic of Tropical Instability Waves, 2021
• Teaching Assistant for Introduction to Oceanography, 2019
• Organizing committee member of M2LInES annual meeting, 2025
• Co-convener of AGU24 session “Subseasonal to Seasonal Tropical Variability”, 2024
• Reviewer of GRL, QJRMS, Journal of Climate, Climate Dynamics, International Journal of Climatology, & Atmospheric Science Letters, 2022 - Present
• AGU member, 2023 - Present

Skills

• Fluent in Python and Fortran
• Building multiple machine learning models
• Processing climate model outputs with large ensembles
• Setting up coupled model experiments such as CESM2 and SPEAR experiments
• Setting up AGCM experiments such as ECHAM
• Running ocean models such as ROMS and MOM6

Honors and Awards

• 2024-2025 ATOC Department Service Award, 2025
• The 2nd place of student oral presentation at the 11th MJO symposium at AMS, 2023
• Selected to attend the NCAR ASP summer colloquium “the sciences of S2S predictions”, 2021
• Academic Excellence Award and Academic Progress Award, Tsinghua University, 2015-2019