About

Welcome to my academic website! I’m a Postdoctoral Researcher at Trinity College Dublin specialising in geospatial data science, remote sensing, and machine learning applications for environmental monitoring.

With over 8 years of experience in geospatial research, I am passionate about applying cutting-edge technology to address pressing environmental challenges. I hold a PhD in Remote Sensing, GIS, and Machine Learning from Trinity College Dublin, where my research focussed on multi-spatial-temporal remote sensing and machine learning for mapping management impacts on peatlands in Ireland. My work contributes to understanding peatland ecosystems, carbon dynamics, and greenhouse gas emissions through innovative applications of satellite-driven modelling combined with in-situ data (eddy covariance flux towers).

My research journey spans Pakistan, Thailand and Ireland with research in multi-hazard and vulnerability risk assessment: developing machine learning approaches for flood forecasting and hydrological risk assessment in South Asia and Southeast Asia, and peatland conservation and carbon dynamics research in Europe. This diverse international experience is always driven by the goal of using geospatial science to inform evidence-based environmental policy and management decisions.

Research Interests

  • Remote Sensing Applications: Multi-temporal satellite imagery analysis using Sentinel-1/2, MODIS, Landsat, and PlanetScope data
  • Machine Learning for Environmental Science: Deep learning and traditional ML methods for ecosystem monitoring and climate research
  • Peatland Ecosystem Studies: Carbon dynamics, greenhouse gas emissions, and land use impacts on peat ecosystems
  • Geospatial Data Pipelines: Scalable processing workflows using Google Earth Engine, R, and Python
  • National-scale Environmental Modelling: Upscaling field measurements to country-wide assessments

Current Research

I am currently leading the development of ICONEEx, a high-resolution satellite-driven model to upscale Net Ecosystem Exchange (NEE) of CO₂ across 92% of Ireland’s terrestrial ecosystems. This project integrates Sentinel-1/2, MODIS PAR, and flux tower data to support climate monitoring, national reporting, and land management verification.

For more information about my research, publications, and ongoing projects, please explore the different sections of this website.

Global Research Collaborations

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