Data Visualization for the Life Sciences
Interactive data visualization is an important part of the data science process, especially in the life sciences. Visualization enables analysts to directly interact with the data, exploring it with minimal effort. In my talk, I will demonstrate the value of visualization for set data, as is commonly used in genomics and cancer microscopy data. I will then show some recent developments for integrating interactive visualizations with python code in Jupyter Notebooks.
About Alexander Lex
Alexander Lex is an Associate Professor of Computer Science at the Scientific Computing and Imaging Institute and the School of Computing at the University of Utah. He directs the Visualization Design Lab where he and his team develop visualization methods and systems to help solve today’s scientific problems.
Before joining the University of Utah, Alex was a lecturer and post-doctoral visualization researcher at Harvard University. He received his PhD, master’s, and undergraduate degrees from Graz University of Technology in Austria. In 2011 he was a visiting researcher at Harvard Medical School.
Alex is the recipient of an NSF CAREER award and multiple best paper awards or best paper honorable mentions at IEEE VIS, ACM CHI, and other conferences. He also received a best dissertation award from his alma mater. His open source software tools include the UpSet set visualization technique which has been downloaded millions of times and has been ported to many programming languages.
Alex co-founded Datavisyn (http://datavisyn.io), a startup company developing visual analytics solutions for the pharmaceutical industry.
- The talk will be in English
- Please join us in-person at BioClub Tokyo or online at https://zoom.bioclub.tokyo