Python

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.

Caroline Figueroa, MD, Ph.D.

Research Fellow, Digital Health Social Justice Project Lead
School of Social Welfare
Digital Health Social Justice

Caroline Figueroa, MD Ph.D., is a Postdoctoral Scholar at UC Berkeley School of Social Welfare. She obtained her MD degree and Ph.D. degree at the University of Amsterdam in the Netherlands. Her Ph.D. research took place at the University of Amsterdam and at the University of Oxford, where she studied cognitive and neurobiological vulnerability factors for recurrence of depression in patients remitted from Major Depressive Disorder. Current research interest is on digital interventions for depression, with an emphasis on developing cutting-edge innovations that tailor to the needs of...

Swetha Pola

Research Fellow
School of Information

Swetha (she/her) is a 5th Year Master of Information and Data Science student at the School of Information, with experience in Cognitive Science, Psychology research, and product management. Her research interests include building ethical, transparent AI and the impacts of technologies (specifically, mass media, surveillance, and algorithms of bias) on longitudinal behavioral health. She is happy to help with questions on Python, R, SQL, machine learning, neural networks, statistical analysis, and research design!

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Sajia Darwish

Researcher
Public Health

Sajia Darwish is a masters student at the School of Public Health. Her research interests center on using empirical methods to understand and solve problems in health and education. Sajia holds a B.A. from Mount Holyoke College and a M.A. from Stanford University.

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). ...