Maksymilian Jasiak is a PhD Student in GeoSystems Engineering at the University of California, Berkeley. His research focuses on Distributed Fiber Optic Sensing (DFOS) for lifeline infrastructure monitoring. His work aims to advance critical infrastructure security and resilience. He holds a MS in GeoSystems Engineering from the University of California, Berkeley and a BS in Civil Engineering from the University of Illinois Urbana-Champaign.
Consulting Areas: ArcGIS Desktop - Online or Pro, Data Visualization, Geospatial Data: Maps and Spatial Analysis, Git or GitHub, Google Earth Engine, HTML / CSS, Javascript, Python, QGIS, R, Regression Analysis, SQL, Spatial Statistics, Tableau, Time Series
Quick-tip: the fastest way to speak to a consultant is to first ...
Consulting Areas: ArcGIS Desktop - Online or Pro, Cluster Analysis, Data Sources, Data Visualization, Excel, Geospatial Data: Maps and Spatial Analysis, GIS (ArcGIS Pro, QGIS); spatial data analysis and visualization, Google Earth Engine, Mixed Methods, Public health data analysis; infectious disease mapping; rural and global health applications of GIS, Experimental Design, Spatial Statistics, Survey Sampling
Quick-tip: the fastest way to speak to a consultant is to first...
Senior Data Science Fellow 2025-2026, Data Science Fellow 2024-2025
School of Information
Hey everyone, I’m Sohail - a 1st years Master’s student studying Data Science at the I-School. I am interested in the intersection between Computer Science, Data Science, and Cognitive Psychology and using these tools to understand, discover, and drive the development of assistive technologies.
I have experience building with brain computer Interfaces, developing distributed data processing applications, and am currently working on a large scale archival project aimed at preserving the history and memory of resistance movements through an embedding based...
Irene is a PhD student in City and Regional Planning. Her research interests lie at the intersection of urban geography, political science, and public health. In particular, she studies street vendors in Mexico City and how the spatiality and politics of their working conditions impact their access to healthy food. She strongly believes in connecting with other social scientists to share perspectives on how to use technology to acquire greater knowledge of social phenomena.
In this 2-part workshop series, we will provide an introduction to spatial analyses in R. We discuss the benefits of the additional ‘location' component that defines spatial data and how spatial data frames organize this information. Using the sf (simple features) and terra packages, we'll navigate fundamental operations for reading, writing, manipulating, and visualizing spatial data.
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.
Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons.
Michael is passionate about cities, technology, and real estate. He has worked in commercial real estate for 10+ years, has a Masters in City Planning, and stared and ran a mapping startup.
