During this inaugural session of the Data Analysis Tools Series, a plan will be designed for the semester's meetings, based on what participants want to learn and teach. Full details about this session can be found here: https://bids.github.io/dats/posts/2018-08-27-organization.html. 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 email@example.com.
Diya Das completed her BIDS Data Science Fellowship in May 2019 and is now an Informatics Analyst II in Development Sciences Informatics at Genentech. At UC Berkeley, she was a postdoctoral researcher in the lab of John Ngai, where she studied regeneration in the olfactory epithelium, the tissue responsible for our sense of smell. She analyzed how olfactory stem cells contribute to both steady-state differentiation and injury-induced regeneration using single-cell RNA sequencing (scRNA-seq), assay for transposase-accessible chromatin sequencing (ATAC-seq) and other genomics techniques. Her first co-authored paper, a collaboration between biologists, computer scientists, and statisticians, demonstrated the paths by which adult stem cells choose between neuronal and non-neuronal fates. Her second co-authored paper addressed how these stem cells mediate tissue regeneration after severe chemical injury. She's also contributed to methods papers for the analysis of scRNA-seq data (available here and here).
Diya also facilitated opportunities for fellow researchers to develop their data science skills by coordinating the BIDS Software/Data Carpentry workshops (she was a Software Carpentry instructor and lesson maintainer), and organizing The Hacker Within, a weekly meeting for demonstration of scientific computing tools. She also led the Career Paths & Alternative Metrics Working Group (chaired by BIDS Senior Fellow Henry Brady), which addresses the career paths available to data scientists within academia.
Diya was formerly the Co-Director and Development Lead of Beyond Academia, a grad student and postdoc-run group whose mission is to encourage career exploration and help their peers nurture skills necessary to be competitive in their future careers. She was also an organizer of the 2017 CDIPS Data Science Workshop, which helped grad students and postdocs explore data science careers via mentored team projects, lectures, skills-based workshops, and company visits.
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.