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My goal is to develop a strong analysis skillset and collaborate with researchers to solve problems at the community level. Send me an email if you have an interesting project on which you'd like to collaborate. I'm always ready for another adventure.

About me (note that after several attempts, still a draft)

I'm a researcher and engineer. And I'm passionate about using research and engineering to help folks. I studied civil engineering as an undergraduate and production engineering and urban planning as a graduate student. However I don’t consider myself an expert in any one particular area—I’m more of a generalist.

Currently I'm a PhD candidate in Urban and Regional Science in the Hazard Reduction and Recovery Center at Texas A&M University co-supervised by Dr. Walter Gillis Peacock and Dr. Zenon Medina-Cetina. My doctoral research focuses on hurricane risk on coastal communities using causal probabilistic analysis through influence diagrams (Bayesian networks), which includes mapping risk for possible better risk communication.

I research to improve practices on risk assessment and management related to natural hazards with social impacts. The research areas I focus on are at the nexus of the sub-fields of urban geography and human ecology, and include using Geographic Information Science for spatial analyses of risk; urban hazards and risk assessment; social impacts; and community-based participatory research.

I love teaching and preparing presentations. I am privileged to teach Urban Analytical Methods and Introduction to QGIS. I also work as research assistant on hurricane evacuation studies, where I contribute producing maps and spatial analysis, and to the development of behavioral surveys.

At work, I’m a coding and reproducible research enthusiast, intensely employing open-source software. I am an avid R user, who loves GIS, spatial analysis, and fancy data visualizations. When I'm not at the computer, I enjoy building with Legos, biking and traveling with my family.

Affiliation

Research Interests

  • Probabilistic causal analysis through influence diagrams (i.e. Bayesian Networks)
  • Spatial analyses of risk, including thematic cartography and geo-visualization
  • Risk assessment for natural hazards with social impacts (e.g. hurricane evacuation planning)
  • Impact of natural disasters on suicide risk

Expertise in Geospatial Technologies

Expertise in Analytical Methods

  • Bayesian Networks (BN)
  • Difference in Difference (DID)
  • Principal Component Analysis (PCA)
  • Hypothesis Testing for Means & Proportions

Educational Background


Notes

Bookmarks
Abuabara cv short
Map Colors
Notes
Music to Test Headphones
Applications
Terminal Codes
R notes
QGIS / GIS day
Tamu Supercomputer
Tamu VPN
Formulas
QUALTRICS notes
wget