Excel

Hikari Murayama

Instructor
Digital Health Social Justice
Energy and Resources Group

Hikari is a graduate student in the Energy and Resource Group. Her research interests involve utilizing remote sensing and geospatial analysis to address pressing problems at the intersection of humans and climate. She recently served as a Data Science for Social Good Fellow at the University of Washington eScience Institute in the summer of 2020. She is experienced and happy to help in the areas of geospatial analysis, remote sensing, and other statistical analyses and methods. Hikari is devoted to helping community members realize their potential to conduct...

Wadzanai Makomva

Discovery Graduate Fellow
School of Information

Wadzanai is a graduate student at the School of Information and she is a part of the MIMS program. She has a vested interest in the integration between data science, technology and developmental surveillance techniques. She has prior experience working as a quantitative analyst in project management consulting within a professional services firm, public health, and most recently in sustainable construction materials. Wadzanai is particularly interested in increasing access of STEM subjects and fields to under-privileged women of color in the African continent, particularly her home...

Yiyi He

Data Science Fellow
Landscape Architecture & Environmental Planning

Yiyi He is a Ph.D. candidate from the College of Environmental Design at University of California, Berkeley. She received her bachelor’s degree in City and Regional Planning from Nanjing University and her master’s degree in Environmental Planning from UC Berkeley. She is currently working as an AI Resident at GoogleX. Prior to this, she worked as a consultant for the Global Facility for Disaster Reduction and Recovery at the World Bank and a researcher for the Center for Catastrophic Risk Management and Federal Aviation Administration Consortium in Aviation Operations Research. Her...

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!

Sean Perez

Data Science Fellow
Environmental Science, Policy, and Management

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
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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.

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.

Josh Everts

Data Science Fellow
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.

Irene Farah

Data Science Fellow
City and Regional Planning

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.

Hilary Faxon, Ph.D.

Data Science Fellow
Environmental Science, Policy, and Management

Dr. Faxon is an ethnographer who uses social media and critical remote sensing to understand and reimagine social justice in technology, environment, and development in the Global South.