Python

Isaac Sloan

Research Fellow
Data Scholars Program
Cal NERDS

Having experienced the inequities in our public education system, I have a passion for exposing and addressing the barriers low-income minority students face through data science. I am an active supporter of improving our society through data-driven solutions. My technical background in mathematics and data science combined with my applied research skills have allowed me to make an impact on our education system. I am actively looking for opportunities to collaborate with individuals and organizations that are passionate about bridging the intersections of data science.

Joel Chang

UTech
Data Science

Joel is a third-year undergraduate student from Saint Petersburg, Russia. He is a Data Science major and has been with the D-Lab since Fall 2019.

In terms of hobbies and interests, Joel loves to play and watch basketball, play the guitar, and watch shows on Netflix, Hulu, or Amazon Prime (some of his current favorite shows: Atlanta, Superstore, Suits). Feel free to ask him about any questions you have or just to chat!

Raul Montellano

UTech
Data Science

A fourth-year student who works in the D-Lab as a UTech. I love to play board games, long runs, and trying new food. Connect with me on LinkedIn (:

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.

Frances Leung

Data Science Fellow
School of Information

Frances Leung is a master’s student at UC Berkeley School of Information where she focuses her studies in information and data science. She has a keen interest in leveraging data-driven insights to better understand consumer behaviors and the world around us. In her professional work as a management consultant, she advises retailers and consumer businesses on digital transformation and creating web/mobile experiences that delight consumers through a human-centered approach. Frances holds a Master in Business Administration from York University, Schulich School...

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.

Sam Temlock

Data Science Fellow
School of Information

Sam (he/him) is a Master of Information and Data Science graduate student at the School of Information, with experience in Cybersecurity and Network Programming. He holds a BS in Computer Systems Engineering from Rensselaer Polytechnic Institute and has previous experience in consulting at Deloitte. He has experience with Python, R, SQL, machine learning, data analytics, statistical analysis, and research design.

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...

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.

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.