R

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.

Connor Haley

Data Science Fellow
Haas School of Business

Connor is an MBA/MEng student with an undergraduate degree in statistics. He spent the past three years in economic consulting, focused on designing competitive electric power markets to produce optimal outcomes. His technical background is in R, Excel, Visual Basic (VBA/macros), and statistical methods.

Christopher Paciorek, Ph.D.

Research Computing Consultant, Adjunct Professor
Department of Statistics
Research IT

Chris Paciorek is an adjunct professor in the Department of Statistics, as well as the Statistical Computing Consultant in the Department's Statistical Computing Facility (SCF) and in the Econometrics Laboratory (EML) of the Economics Department. He is also a user support consultant for Berkeley Research Computing. He teaches and presents workshops on statistical computing topics, with a focus on R.

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.

Marina Blum

Data Science Fellow
School of Public Health

Marina is a master's student in the Health and Social Behavior division of the School of Public Health. She has extensive experience in ATLAS.ti and can help you get the most out of the program. She is passionate about data visualization, and is happy to help with related questions and questions on qualitative methods.

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...

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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Lawrence Y. Tello

Master's Student
School of Public Health

I am an MPH candidate in Epidemiology & Biostatistics at the School of Public Health. Prior to graduate school, I worked on Psychology and Neuroscience studies. My research interest revolves around psychiatric epidemiology with a focus on suicide prevention. Currently, I am working as an Epidemiologist/Data Analyst for the California Department of Public Health. I love working with messy data, solving coding challenges, and data visualization.