Git or Github

Aniket Gupta

Discovery Fellow
School of Information

I am a first year masters student at UC Berkeley school of Information majoring in Information Management and Systems with a focus on Data Science and ML. I like to build optimized yet simple and scalable solutions powered by data using emerging AI technologies.

Aniket Kesari, Ph.D.

Former D-Lab Postdoc and Senior Data Science Fellow
Berkeley Law

Aniket Kesari was a postdoc and data science fellow at D-Lab. He is currently a research fellow at NYU’s Information Law Institute, and will join the faculty of Fordham Law School in 2023. His research focuses on law and data science, with particular interests in privacy, cybersecurity, and consumer protection.

Featured D-Lab Blog Post: Introducing “A Three-Step Guide to Training Computational Social Science Ph.D. Students for...

Shivani Patel

IUSE Undergraduate Advisory Board
Cognitive Science
Data Science

Hi! I’m a third-year at UC Berkeley studying Cognitive Science and minoring in Data Science. I will be pursuing a Doctorate of Physical Therapy with an emphasis in Sports Medicine but will be using my Data Science education as a way to enhance the field. I like learning about business models, impacted industries, and approaches to solving major problems in our world/communities.

Reubén Pérez

Consultant
Sociology

Reubén Pérez is a Ph.D. student in the Department of Sociology at UC Berkeley, where his research focuses on the politics of ethnoracial data production in the context of Latin America and the Caribbean.

Abhishek Roy

IUSE Undergraduate Advisory Board
Economics
Data Science

I'm Abhishek Roy and I'm double majoring in Economics and Data Science. I've been a part of D-Lab's IUSE project since Spring 2020 and have truly found an organization that is not only passionate about Data Science but also strives to expand its reach equitably to all communities. I am involved in Research and Project Management roles in various departments and labs at Berkeley and I'm an Editor at the Berkeley Economic Review. I love diving into anything at the intersection of Data Science, Economics, Business, and Computational Social Science. Whenever I'm free, I love writing...

Ella Belfer

Consultant
Energy and Resources Group

Ella is a PhD student in the Energy and Resources Group. Her research examines water governance in a changing climate, drawing on geo-spatial techniques. Her past work includes applications of topic modelling in climate change adaptation research, and inductive coding of semi-structured interviews.

Alex Bruefach

Discovery Graduate Fellow
Materials Science and Engineering

Alex is a PhD Candidate in materials science and engineering developing image processing and machine learning techniques for extracting information from electron microscopy datasets. Her primary focus is understanding what information is transferred from various feature representations of images. She has extensive experience collaborating across boundaries and is passionate about brainstorming innovative approaches to challenging data science problems!

Maya Samuels-Fair

Instructor, Consultant
Integrative Biology

Maya is an Integrative Biology Ph.D. student in the Finnegan Marine Paleobiology Lab, where she studies life-history evolution and diversity patterns in the marine invertebrate fossil record. She is happy to help with statistical analyses, data visualizations, and simulations in R. She also has recently been dabbling in image analysis, including python-based machine learning and 3D Slicer extension development, and would love to help other newcomers get started.

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...

Erin Manalo-Pedro

Research Fellow
Community Health Sciences (UCLA)

Erin Manalo-Pedro is a Ph.D. student in the Department of Community Health Sciences at the UCLA Fielding School of Public Health with a minor in education. She focuses her racial health equity research on curriculum, the health workforce, and political interventions for communities of color. Drawing from Public Health Critical Race Praxis and Pinayism, she aims to use methods, like natural language processing and counter storytelling, to document the subtleties of structural racism and resistance from marginalized groups.

To guide her interdisciplinary approach, Erin leverages
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