Maryam
Torkashvand

Geospatial Data Specialist  &  GIScience Researcher

I build spatial data systems, design maps, and extract insight from large geographic datasets. My work spans data engineering, network analysis, and visualization, applied to problems in public health, history, planning, and the environment.

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Publications
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Conference Talks
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Multidisciplinary Projects
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Years in GIS

Featured Projects

Research, data engineering, and visualization projects spanning spatial science, history, and the environment.

Geocoding · NLP · Big Data
Hierarchical Toponym Resolution for 25M+ Historical Birthplace Records

A multi-step framework combining hierarchical geographic matching and LLM validation to geocode 25 million unstructured birthplace records from crowd-sourced genealogical data (1850 to 1920).

View Project → 🏆 Best Paper NSF Funded
Data Engineering · Migration
US Historical Migration Networks (1850 to 1920)

Python and PostGIS pipelines to clean 280 million historical place records, constructing a 60M-node spatial network to study how Americans moved and formed communities over the settlement period.

View Project → NSF Funded
Geovisualization · StoryMap
Rivers and Risks: Interactive Watershed StoryMap

NSF-funded interactive story map communicating river water-quality risk and watershed pollution patterns to stakeholders and vulnerable communities across Iowa.

View StoryMap ↗ NSF Funded
Research · Ongoing
Spatial Kinship Networks: Sibling Ties and Migration

Building a spatial-social network dataset from a large crowd-sourced historical family tree to study how sibling and sibling-in-law ties shaped migration patterns in 19th-century United States.

View Project → In Progress
Web Mapping · D3.js · Animation
Animated Iowa Population and Transportation Map

Animated D3.js map showing Iowa's changing population density from 1850 to 1920, tracing the shift from river-dominated to railroad-shaped settlement patterns.

Environmental GIS · Optimization
Groundwater Vulnerability and Risk Assessment

GIS-based DRASTIC models integrated with evolutionary algorithms and multi-criteria decision-making to assess groundwater vulnerability and nitrate contamination risk across aquifer systems.

Skills across domains

Technical depth in geospatial systems, combined with research, communication, and people skills built across academic and professional environments.

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Spatial Data Engineering
Building repeatable Python + PostgreSQL/PostGIS pipelines to clean, geocode, and validate large-scale spatial datasets at population scale.
Python PostGIS Geocoding ETL
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Network & Spatial Analysis
Analyzing spatial-social networks, migration patterns, and kinship structures using graph algorithms and community detection methods.
NetworkX Graph Theory Migration
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Geovisualization & Cartography
Creating publication-quality maps, animated web visualizations, and interactive maps that communicate spatial patterns to broad audiences.
D3.js ArcGIS Cartography
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AI & Machine Learning
Applying LLMs with human-in-the-loop validation, evolutionary optimization, and machine learning methods to complex geospatial problems.
LLM Validation Scikit-learn Optimization
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Environmental GIS
GIS-based modeling for groundwater vulnerability and environmental risk assessment, integrating multi-criteria decision-making and optimization.
DRASTIC GIS Modeling Risk Assessment
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Science Communication
Translating spatial analysis into accessible maps, StoryMaps, and narratives for stakeholders, policymakers, and the public.
StoryMaps ArcGIS Online Public Outreach

Selected Publications

2025
US migration from 1850 to 1920: A comparison of family trees with linked census data
Historical Methods: A Journal of Quantitative and Interdisciplinary History — Koylu, Kasakoff, Torkashvand
2025
Settlement and the intergenerational dispersion of kin as a spatial process in the 19th-century US
The History of the Family — Koylu, Kasakoff, Torkashvand
2024
A Hierarchical Approach for Geocoding Birthplaces in Temporally Continuous Crowd-Sourced Family Tree Data Best Paper
CaGIS and UCGIS Symposium 2024 — Torkashvand and Koylu
2023
Groundwater Vulnerability to Nitrate Contamination from Fertilizers Using Modified DRASTIC Frameworks
Water, 15(17):3134 — Torkashvand, Neshat, Javadi, Yousefi, Berndtsson
2021
New hybrid evolutionary algorithm for optimizing index-based groundwater vulnerability assessment
Journal of Hydrology, 598 — Torkashvand, Neshat, Javadi, Pradhan

Open to research,
consulting and collaboration

Whether you need a spatial data scientist, GIS consultant, or research collaborator, I'd love to connect.

Get in Touch torkashvand20@gmail.com