Javascript

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.

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.

María Martín López

Data Science Fellow
Psychology

María Martín López is a PhD student in the Cognition area within the Department of Psychology. Her research relates to cognitive computational and quantitative models of individual differences in behaviors, thoughts, and emotions. She is particularly interested in how we can create and leverage novel algorithms to understand, measure, and predict processes relating to externalizing psychopathology (e.g. impulsivity, aggression, substance use). She answers these questions using a range of computational and quantitive models including AI, NLP, SEM, time series analysis, multi-level...

Mapping Time-Series Satellite Images with Google Earth Engine API

July 17, 2023
by Meiqing Li. Remote sensing imagery has the potential to reveal land use patterns and human activities at a planetary scale. For example, nighttime light intensity extracted from can shed light on spatial patterns of human activities and settlements, especially in places where traditional data are scarce. This blog post introduces Google Earth Engine (GEE) as a general purpose tool to extract time-series remote sensing data from GEE data catalog. I walk through using GEE to obtain data, filter by time and geographic region, and visualize it on static and interactive maps.

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.

Monica Donegan

Data Science Fellow
Environmental Science, Policy, and Management

Monica is a third-year Ph.D. candidate in the Environmental Science, Policy, and Management program. She uses computational tools to study the evolution and ecology of agricultural plant pathogens. Previously, she worked on a data science team at a biotech company in Boston.

Louie Ortiz

IUSE Undergraduate Advisory Board
Data Science

Louie is a third-year transfer student majoring in Data Science with an emphasis on Cognition. He hopes to analyze how data—both at the computational and human level—can advance our understanding of technology and its socio-cultural implications. He is a part of the IUSE Undergraduate Advisory Board; helping make Data Science at Berkeley inclusive and accessible to all.

Shusheng Li

UTech Management
Data Science
Economics

Shusheng is currently a fourth-year undergraduate student studying Data Science and Economics. He is currently a part of the UTech Management team at D-Lab. Shusheng loves playing all types of sports because it's a great way to stay fit and be together with friends. Working as a UTech Front desk, Shusheng loves helping others and directing them to the right resources available.

Scrollytelling through a look at food prices around the world

May 2, 2022

You have gathered the needed data to support your research, check. You have made some hypotheses about what you hope to conclude, check. You have spent time cleaning the data and organizing it in a manner that permits further exploration, check. You have sliced and diced the data with your favorite data exploration software packages or techniques and created some data visualizations that you feel confident about, quadruple check! You are now armed with insights that you hope to showcase to the world, what’s next? In this article, I would like to share some tips for creating a...