Python

Josh Everts

School of Information

I'm a Master's student at the Berkeley School of Information in the MIMS program, studying Data Science. I am especially interested in applying the statistical and computational methods of Data Science to problems within the natural sciences and transportation. To this end I am currently helping with the data analysis of a spectroscopy experiment at SLAC National Lab. Outside of academic work I enjoy improving my cooking skills, biking, and learning about history and geography.

Ewen Dai

Consultant
Statistics

Ewen is currently a Statistics MA student at UC Berkeley and completed her undergrad studies at Berkeley in Data Science and Statistics. Outside of consulting she has also been on course staff of multiple classes. Mostly recently, she is a TA for Stat 88.

Diana Casanova

Consultant
Graduate School of Education

Diana Casanova is a fourth-year Ph.D. candidate with the Graduate School of Education. Diana’s research is focused on the policies and practices that empower family and community stakeholders to act collectively and affect social change. Specifically, she studies the implementation of California’s school finance reform, which includes a more structured and democratic process of stakeholder engagement, seeking to illustrate the relationship between a state initiative aimed at bringing families into policy-making spaces and the ways that families find and make meaning in these spaces...

Kazutoki Matsui

Instructor, Consultant
Goldman School of Public Policy

Kazutoki is an MPA student at Goldman School of Public Policy with a passion for policy and technology. He is particularly interested in how data analytics and artificial intelligence can help improve public budgeting and governmental services. Kazutoki has worked as a policy manager at Financial Services Agency, a financial regulator in Japan. Prior to that, he worked as an analyst at Ministry of Finance, mainly in charge of corporate tax policy. He is currently studying as a Japanese Government Fellow, and has also received his master’s degree in Finance from MIT.

Bobo Kwok

UTech
Data Science

I am an undergraduate student studying Data Science with an emphasis in Applied Mathematics & Modeling. I enjoy storytelling through data visuals and learning new visualization tools.

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!

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). ...