QGIS

Reine Ngnonsse

IUSE Undergraduate Advisory Board
Genetics and Plant Biology

Reine Ngnonsse, an enthusiast for math and technology, delved into tutoring math at a community college through the EOPs program. At UC Berkeley, while pursuing Genetics and Plant Biology, She explored R programming in a CRISPR project. As an intern at Health Career Connection, Reine expanded coding skills in Python, R, and Tableau, igniting a passion for programming. With exposure to Python and Javascript, she can't wait to merge mathematical prowess with coding finesse for innovative solutions.

Laura Schmahmann

Instructor
City and Regional Planning

I am a PhD Candidate within the Department of City and Regional Planning at UC Berkeley. My dissertation explores the political economy of warehouse development across California, focusing on two case studies - the Inland Empire and North San Joaquin Valley. I am also a Graduate Student Researcher within the Labor Management Partnerships team at the UC Berkeley Labor Center. I hold a Bachelor of Planning (Honours Class 1) and Master of Philosophy (Planning and Urban Development) both from the University of New South Wales.

Suraj Nair

Data Science Fellow
School of Information

I am a PhD Student at the School of Information. My research interests lie at the intersection of development economics and machine learning, with a focus on the use of large scale digital data and new computational tools to study pressing issues in global development.

Alex Ramiller

Data Science Fellow
City and Regional Planning

I am a PhD Candidate in City and Regional Planning. My research focuses on the use of large administrative datasets to study residential mobility, neighborhood change, and housing access. I received a Master in Geography from the University of Washington and a Bachelor's in Economics and Geography from Macalester College. I have also consulted on analytical projects for several organizations including the San Francisco Federal Reserve Bank, PolicyLink, and the City of Seattle.

Gaby May Lagunes

Consultant
ESPM

Hello! I’m Gaby (she/her). I am PhD student at the ESPM department, I hold a masters in Data Science and Information from the Berkeley ISchool and I have 5+ years of industrial experience in different data roles. Before that I got a masters in Engineering for International Development and an undergraduate degree in Physics from University College London. And somewhere between all that I got married, survived the pandemic, and had two awesome boys. I’m very excited to help you use data to enhance your work and your experience here at Berkeley!

Sharon Green

Data Science Fellow
Demography

Sharon Green is an epidemiologist and sociologist who studies population health. Her research examines how policies influence health disparities, how migration affects migrant-sending areas, and how social determinants shape mid- and late-life health inequities. Her work has been published in leading journals, including the New England Journal of Medicine, Social Science and Medicine – Population Health, and American Journal of Public Health. Sharon earned her PhD in Sociomedical Sciences and Sociology and her MPH from Columbia University as well as her BA from Johns Hopkins...

Melike Sümertaş

Data Science Fellow
History

I hold a PhD in History from Boğaziçi University, Istanbul and B.A and M.A degrees from Middle East Technical University in Ankara, Department of Architecture, and Program in Architectural History. My research focuses on the urban/architectural/visual culture of the late Ottoman Empire and its capital city Istanbul, with a particular interest in the Greek-Orthodox community. My current project in the History Department of UC Berkeley under the umbrella of the Istanpolis collaboration led by Prof. Christine Philliou, focuses on utilizing digital humanities tools for urban/...

QGIS Geospatial Fundamentals: Parts 1-2

February 22, 2023, 1:00pm
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.

CANCELED: QGIS Geospatial Fundamentals: Parts 1-2

November 15, 2022, 3:00pm
This workshop will introduce methods for working with geospatial data in QGIS, a popular open-source desktop GIS program that runs on both PCs and Macs as well as linux computers. Participants will learn how to load, query and visualize point, line and polygon data. We will also introduce basic methods for processing spatial data, which are the building blocks of spatial analysis workflows. Coordinate reference systems and map projections will also be introduced.
Registration is unavailable.

Michael Pearce, MA

Instructor
D-Lab

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.