Education
- MPhil in Statistics, National University of Sciences and Technology (NUST), Islamabad, 2020–2022
Thesis: Model Selection and Ensemble Climate Projection using Bayesian Model Averaging in Sindh, Pakistan - BS in Mathematics, University of Management and Technology (UMT), Lahore, 2015–2020
- Semester Exchange Program, Kansas State University, USA, Spring 2018
Teaching Experience
- University of Karachi (Visiting Faculty):
- Basic Mathematics
- Inferential Statistics
- Quantitative Methods in Business
- Analysis of Financial Time Series
- University of Management and Technology, Lahore (Teaching Assistant):
- Calculus – I
- Linear Algebra
- Beacon House School System, Sukkur (Class Teacher):
- Mathematics
- Science
Biography
Aatka Burhan is a statistician and climate researcher specializing in statistical modeling, Bayesian model averaging, and ensemble climate projections. Her research explores advanced statistical approaches for predicting climate change impacts, with a strong focus on improving model selection and forecasting techniques for temperature and precipitation variability in South Asia.
She holds an MPhil in Statistics from the National University of Sciences and Technology (NUST), Islamabad, and a BS in Mathematics from the University of Management and Technology (UMT), Lahore. Aatka has also completed a semester exchange program at Kansas State University, Manhattan, USA, under the UGRAD Global Exchange Program sponsored by the U.S. Department of State.
Her recent work evaluates the performance of climate models and statistical ensemble methodologies to improve climate predictions published in Modeling Earth Systems and Environment, and also presented her findings at the 21st International Conference on Statistical Sciences (2024) hosted by DOW University of Health Sciences and Baqai Medical University, Karachi.
Selected Publications & Conference Presentations
- Irfan, A., Khan, F., Abbas, M. et al. Enhanced climate projections over Sindh, Pakistan: a bayesian model averaging ensemble methodology.Model. Earth Syst. Environ.* 10, 4401–4413 (2024). https://doi.org/10.1007/s40808-024-02028-w
- Global Climate Model Selection using Forward Stepwise, Backward Stepwise and Bayesian Model Averaging and Ensemble Projection. Presented at 21st International Conference on Statistical Sciences (21st ICSS) by Islamic Society of Statistical Sciences (ISOSS) at DOW University of Health Sciences Karachi, December 9-11, 2024.
Honors and Awards
- President’s Doctoral Awards in Transdisciplinary Scholarship (University of Calgary, Canada)
- Climate Change Champion – German Red Crescent & Hilal-e-Ahmar Pakistan
- UGRAD Global Exchange Program (U.S. Department of State)
- Dean’s Merit Award, UMT Lahore
