This meeting of the Data Analysis Tools Series will provide an opportunity for participants to connect with people using analytical approaches to solve problems across academic domains. If you plan to attend, please fill out the registration form to RSVP and to indicate an expertise you might want to learn about or teach.
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.
Speaker(s)
Caroline Cypranowska
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.