DATS: Data tidying in R & Python

Data Analysis Tools Series at BIDS


September 24, 2018
4:00pm to 5:30pm
190 Doe Library
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This week, guest speakers Caroline Cypranowska and Sara Stoudt will lead a session on Data tidying in R & Python. This meeting is free and open to the public, and all interested participants are welcome and encouraged to attend.  

The Data Analysis Tools Series is a collaborative, peer-driven weekly meeting for sharing skills and best practices in research computation and data science. In these friendly sessions, peers at all levels of experience share information about tools for analyzing all types of data. For more information, visit the DATS website, sign up for the DATS mailing list or contact the organizers directly at thw-admin@berkeley.edu.


Caroline Cypranowska

PhD Student, Molecular and Cell Biology Department, UC Berkeley

Caroline Cypranowska is a PhD student in the Molecular and Cell Biology department in the lab of Ehud Isacoff. She uses functional genomics methods to study how motor neurons send and receive signals, using the fruit fly as her model organism. Caroline’s appreciation for computational biology and data science began during her previous work in the lab of Ahmet Yildiz, where she studied how molecular motors move cellular cargoes. Recognizing that programming and data science has helped her transition between diverse projects, Caroline volunteers with The Hacker Within to help others develop skills relating to data visualization, data science, and computation.

Sara Stoudt

BIDS Alumni - BIDS Data Science Fellow

Former BIDS Data Science Fellow Sara Stoudt is a lecturer in the Statistical & Data Sciences Program at Smith College. At UC Berkeley, she was a PhD student in Statistics advised by Professors Will Fithian and Perry de Valpine. Her research interests included ecological applications of statistics and assessing the identifiability and robustness of inference under model misspecification in species distribution models. She was also involved in teaching writing for statistics with Professor Deborah Nolan. Prior to being a BIDS Fellow, Sara was supported by a National Physical Sciences Consortium Fellowship with the National Institute of Standards and Technology and was part of the Data Science for the 21st Century: Environment and Society Training Program. Sara graduated with a BA in Mathematics and Statistics from Smith College.