Python

Frank Hidalgo Ruiz

Data Science Fellow
Chemistry

I am currently a 5th-year Chemical Biology Ph.D. student. My research focuses on understanding the mechanism by which mutations in a protein called Ras lead to tumorigenesis. More specifically, I aim to integrate high-throughput mutagenesis, coevolutionary analysis, and machine learning algorithms to generate a predictive model. Over the last year, I have built a Python package to process, analyze, and visualize Next Generation Sequencing datasets. I love collaborating across research fields and sharing my passion for data science.

Amanda Jorgensen

IUSE Undergraduate Advisory Board
Data Science
Economics

I am currently a fourth-year undergraduate, studying Data Science and Economics.

Working with spatial networks

April 25, 2022
Yiyi He

When working with spatial networks, both ArcGIS and Python packages such as NetworkX and iGraph are very useful tools. In the past, I have used both tools to help me better understand spatial network topology and network flow. In this blog post, I hope to share with you some cool features that these tools have...

Spencer Le

Data Peer Consultant, UTech
Computer Science
Data Science

I am a senior majoring in Computer Science and minoring in Data Science. I love crunching down big data and analyzing it in order to help solve real-life issues. In my free time, I like jamming out to music, drawing, studying history, and posting on my foodstagram. If you have any questions regarding Computer Science or Data Science, please stop by!

Harry Li

UTech
Data Science
Cognitive Science

Hello! I am a third-year undergraduate studying Data Science and Cognitive Science. I love what I'm studying and am also passionate about education policy reform and teaching in general. I'm also a big fan of the Los Angeles Lakers, trying out new recipes, gaming, and fitness!

Twitter data extraction with Selenium

March 1, 2022
Seyi Olojo

Introduction

With online communities and social networks serving as important sites for computational social science research, Twitter has quickly become a popular data source for researchers (Frey et al. (2020), Kusen et al. (2017), Rao et al. (2010) and Ru et al. (2021)). This blog post will demonstrate one way to extract twitter data without using the Twitter API. This is especially useful for researchers who are new to exploring the use of Twitter data in their research, looking to develop a baseline corpus for a research question they are newly...

Predicting Madness: This March Madness, you can be your friend group’s resident Bracketologist.

March 7, 2022
Sohail Kamdar

On Selection Sunday, a twelve-member NCAA committee kicks off March Madness by picking America’s best college basketball teams. Each year, millions of people build their bracket based on records, school allegiances, favorite colors, and weirdest mascots. The national college basketball event that pins the top 64 Division I teams in the country in a knockout style tournament is one of the largest betting events in sports. In the course of 68 games, over $8.5 billion across 40 million bets are estimated to be made both legally and illegally (Odds Shark, 2021). ...

Getting Started with the NYT API

March 1, 2022
George McIntire

Introduction

The web is chock full of valuable troves of data that can spawn an infinite number of social science research projects. However, not all data is easily accessible! While some data can be easily downloaded, access to some sources of data are dictated by what is known as an API. Standing for application programming interface, APIs are a set of defined protocols governing the terms of access to software and servers from programs created...

William Rathje

D-Lab Alumni
Sociology

I'm a second-year sociology PhD student interested in data science, critical theory, and culture. I work as a data science fellow, with technical interests in networks, natural language, machine learning, statistics, and social media analysis. Outside work, I enjoy reading, writing, coffee, and running!

Ian Castro

D-Lab Alumni
School of Information

Ian is a graduate student in the Master of Information Management and Systems program at the School of Information with a focus in applied data science. He earned his B.A. in Media Studies and B.S. in Microbial Biology from UC Berkeley, and his research interests and work experience are in STEM education. He focuses in building courses and academic programs to make data and computing accessible to historically marginalized students and those without prior exposure to the field.