I am a Ph.D. Candidate in Environmental Science, Policy & Management at Berkeley. As a community ecologist, I use movement data and satellite imagery to disentangle how human land-uses affect wildlife behavior and population dynamics. Before joining the Brashares lab, I managed the Data Analytics & IT Department at Earthwatch Institute, where I led initiatives to engage corporate stakeholders and volunteers in ecology field research. I graduated from Dartmouth College with a B.A. in Ecology.
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.
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...
Irene is a PhD student in City and Regional Planning. Her research interests lie at the intersection of urban geography, political science, and public health. In particular, she studies street vendors in Mexico City and how the spatiality and politics of their working conditions impact their access to healthy food. She strongly believes in connecting with other social scientists to share perspectives on how to use technology to acquire greater knowledge of social phenomena.
Kellie's recent research varies widely and has included topics such as mental health, hair discrimination, racial equity, millennial voters, implicit bias, sober living, and tax reform. Formally trained in Ethnic Studies, African American Studies, Native American Studies, American Studies and Anthropology, Kellie effectively combines qualitative and quantitative approaches and methodologies to provide optimal research solutions for a legislative and gubernatorial clientele. Kellie is also a Visiting Scholar at the Institute of Governmental Studies, University of California, Berkeley...
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.
Electrical Engineering and Computer Science (EECS)
Nikita Samarin is a doctoral student in Computer Science in the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley advised by Serge Egelman and David Wagner. His research focuses on computer security and privacy from an interdisciplinary perspective, combining approaches from human-computer interaction, behavioral sciences, and legal studies. Samarin is a member of the Berkeley Lab for Usable and Experimental Security (BLUES) and an affiliated graduate researcher at the Center for Long-Term Cybersecurity (CLTC) and the...
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.
Sean is a Ph.D. candidate in Environmental Science, Policy and Management (ESPM). His thesis is centered around the chemical and genetic components that underly chemical defense in arthropods. To answer these questions, he uses a variety of methods from Gas Chromatography-Mass Spectrometry to RNAseq differential expression analysis. To this end, he programs in R, Python, and bash.
Sean is also an aspiring data-science who draws inspiration from Hadley Wickham and Wes McKinney, the creators of the tidyverse and pandas respectively, and tries to follow their tenants of creating...
Seyi is a PhD Student in the School of Information and is a member of the Algorithmic Fairness and Opacity Group. Her research broadly explores the problem space of digital memory, specifically the social discourse surrounding algorithms, ethics, and engagement. Additionally, her work often explores histories of quantification and the politics of categories within emerging technologies. She uses a mixed methods approach to research; this includes ethnography, interviews, grounded theory, surveys, data analysis and values-based design. Here at the D-lab, she leads the qualitative...
