Curriculum Vitae

Education

PhD in Geography (Expected 2026)
University of Florida, Gainesville, Florida
Entered: Fall 2022

• Concentration: Earth System Science, Sustainability, and Global Environmental Change
• Research Focus: Climate extremes, heat waves, and machine learning applications in climate science
• Advisor: Dr. David Keellings

Research Interests

• Heat wave dynamics and prediction
• Extreme weather events and climate variability
• Machine learning applications in climate science
• Hydroclimatology and hydroinformatics
• Climate change impacts on extreme weather
• Numerical weather prediction and climate modeling
• Air quality modeling and forecasting

Awards and Honors

NSF LEAP Summer Momentum Fellowship (2025)

• 10-week research residency at Columbia University
• Focus: Climate data science and machine learning applications
• Competitive fellowship for doctoral students in climate data science

Research Assistant (2022-Present)

• Florida Institute for Built Environment Resilience (FIBER)
• University of Florida Department of Geography

Research Experience

Graduate Research Assistant (2022-Present)
University of Florida, Department of Geography

• Developing machine learning models for heat wave prediction and analysis
• Working with large climate datasets (ERA5, CMIP6, MERRA-2)
• Integrating numerical climate models with AI techniques
• Focus on climate extremes and earth system dynamics

Research Focus Areas:

• Climate model-AI integration
• Extreme event detection and forecasting
• Spatiotemporal climate data analysis
• Deep learning for climate pattern recognition

Publications

Peer-Reviewed Journal Articles:

1. Narayanan, A., Rezaali, M., Bunting, E., & Keellings, D. (2025). It’s getting hot in here: Spatial impact of humidity on heat wave severity in the United States. Science of the Total Environment, 963, 178397.

2. Rezaali, M., Jahangir, M. S., Fouladi-Fard, R., & Keellings, D. (2024). An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran. Urban Climate, 55, 101950.

3. Rezaali, M., Fouladi-Fard, R., O’Shaughnessy, P., & Karimi, A. (2025). Assessment of AERMOD and ADMS for NOx dispersion modeling with a combination of line and point sources. Environmental Science and Pollution Research.

4. Rezaali, M., et al. (2024). Human and ecological risk assessment, geo-accumulation, and source apportionment of road dust heavy metals in a semi-arid region of central Iran. International Journal of Environmental Analytical Chemistry, 104(18), 6495-6518.

Total Citations: 359+ (Google Scholar)
h-index: View Google Scholar Profile

Technical Skills

Programming Languages:

• Python (Advanced) - Primary language for research
• MATLAB (Advanced) - Climate data analysis and modeling
• R (Intermediate)
• Shell scripting (Bash)

Machine Learning & AI:

• TensorFlow, PyTorch, Keras
• scikit-learn, XGBoost
• Neural networks (LSTM, BiLSTM, GRU, CNN)
• Ensemble methods and deep learning
• Time series forecasting

Climate Science Tools:

• Climate data formats: netCDF, GRIB, HDF5
• Climate data processing: xarray, netCDF4, CDO, NCO
• Weather Research and Forecasting (WRF) model
• Climate reanalysis datasets: ERA5, CMIP6, MERRA-2
• Climate indices and extreme event detection

Geospatial Analysis:

• GDAL, Rasterio, GeoPandas
• Cartopy, Basemap for mapping
• Remote sensing data processing
• Spatial statistics

Data Science & Visualization:

• Pandas, NumPy, SciPy
• Matplotlib, Seaborn, Plotly
• Statistical analysis and hypothesis testing
• High-performance computing (HPC)

Development Tools:

• Version control: Git, GitHub
• Jupyter notebooks, VS Code
• Linux/Unix systems
• HPC cluster computing

Professional Service

Peer Review:

• Reviewer for climate and environmental science journals

Professional Memberships:

• American Geophysical Union (AGU) [if applicable]
• American Meteorological Society (AMS) [if applicable]

Teaching and Mentoring

Graduate Teaching Assistant (if applicable)
University of Florida

• Assisted with courses in geography, climate science, or related fields
• Mentored undergraduate students in research methods

Presentations and Conferences

To be added - Include any conference presentations, posters, or invited talks

Languages

• English (Fluent)
• Persian/Farsi (Native)

References

Available upon request

Last Updated: November 2025

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