Python

Kai Hsu

Data Science for Social Justice Fellow 2024
City and Regional Planning

Kai is a PhD candidate in UC Berkeley's Department of City and Regional Planning, whose research interests lie at the intersection of transportation planning, environmental exposure, and health equity. He holds a BS in Urban Planning from National Cheng Kung University, Taiwan, and a MSc in Transport from Imperial College London and University College London.

His current research projects look at the association between heat exposure and road safety risks, with a particular focus on food-delivery motorcyclists.

Elizabeth Fajardo

Data Science for Social Justice Fellow 2024
Graduate Group in Ancient History and Mediterranean Archaeology

I am a PhD Student in Ancient History and Mediterranean Archaeology. I study the Roman Imperial Economy, particularly the development of human capital during the Imperial Period and the Roman monetary system.

My main research interests include political economy, labor, and economic metaphor in Ancient Rome, particularly highlighting the intersections of economic production and power.

Hugh Kadhem

Mathematics

Hugh Kadhem is a Ph.D. student in Applied Mathematics, with broad research interests in computational quantum physics and high-performance scientific computing.

Sophie Ruehr

Consultant
Environmental Science, Policy, and Management

Sophie is interested in water and carbon cycling at local, regional and global scales. She uses remote sensing and eddy co-variance data to resolve land-atmosphere dynamics resulting from groundwater use and climate change. Having worked as a reporter and oral historian, she is also interested in human perceptions of environmental change, especially when these differ from scientific findings.

Creating the Ultimate Sweet

January 30, 2024
by Emma Turtelboom. What is the best Halloween candy? In this blog post, we will identify attributes of popular sweets and create a model to understand how these attributes influence the popularity of the sweet. We’ll discuss alternative model approaches and potential drawbacks, as well as caveats to interpreting the predictions of our model.

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.

Addison Pickrell

IUSE Undergraduate Advisory Board
Mathematics
Sociology

Addison is an aspiring mathematician and social scientist (Class of '27). He loves collecting books he'll never read, is an open-source and open-access advocate, and an aspiring community organizer and systems disrupter. Ask me about community-based participatory action research (CBPAR), critical pedagogy, applied mathematics, and social science.

Tonya D. Lindsey, Ph.D.

Data Science Fellow
Institute of Governmental Studies (IGS)

Tonya D. Lindsey is a visiting scholar at the Institute of Governmental Studies and the project director of CRB Nexus: Where Policy Meets Research, an initiative of the California Research Bureau (CRB) at the California State Library. As project director of CRB Nexus, she is developing a community of practice space for California’s policy staff and public scholars. As a CRB senior researcher she uses her expertise in research methods to analyze a wide variety of policy questions at the request of legislators, the governor’s office, and their staff. She received her PhD in sociology...

Processing Videos in Python with OpenCV

November 28, 2023
by Leah Lee. Videos and images are quickly becoming the most common type of data we store and interact with. Computer vision technologies derive useful information from these forms of data and are now commonly used in health care, agriculture, transportation, and security. OpenCV is a powerful tool for image processing and computer vision tasks. In this blog post, we will explore how we can use OpenCV in Python to carry out basic computer vision tasks. Specifically, we’ll focus on the simple task of identifying an object from a video and labeling a frame with a box around the object.

Searching for Other Solar Systems

November 21, 2023
by Emma Turtelboom. Over the last three decades, we have discovered over 5000 exoplanets, which are planets outside of our Solar System. With these observations, we can try to answer many questions we have about the universe. For example, how unique is the Solar System? How do planets form? Is there life elsewhere in the Milky Way? We can query the NASA Exoplanet Archive to compare multi-planet systems to the Solar System. Through this, we can compare how similar (or dissimilar!) the systems are.