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.
- College of Architecture (COA) at Texas A&M University (TAMU)
- Department of Landscape Architecture and Urban Planning (LAUP)
- Hazard Reduction & Recovery Center (HRRC)
- Stochastic Geomechanics Laboratory (SGL)
- Center for Geospatial Sciences, Applications and Technology (GEOSAT)
- 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
- R (largely Simple features, tidyverse and tidycensus, and RGDAL and RGEOS)
- QGIS (including processing R scripts, GRASS, and OSM geographic data)
- Computer generated footprints (buildings polygonization)
- Thematic cartography
Expertise in Analytical Methods
- Bayesian Networks (BN)
- Difference in Difference (DID)
- Principal Component Analysis (PCA)
- Hypothesis Testing for Means & Proportions
- M.S. Production Engineering, Federal University of Sao Carlos (DEP/UFSCar), Brazil.
- B.S. Civil Engineering, University of Sao Paulo (EESC/USP), Brazil.