.jpg "Joshua D. Kangas, PhD photo")
Assistant Teaching Professor
Carnegie Mellon University, Pennsylvania, United States
A successful Computational Biology researcher will have a strong understanding of computational techniques and the biological processes and techniques underlying the development of the data they are analyzing. In the courses Joshua teaches at Carnegie Mellon University, students generate experimental data in wet-lab experiments and learn to apply computational techniques for the analysis of those data. Joshua constantly looks for ways to make our course offerings as modern as possible in both the wet-lab and computational techniques learned by students. At times, this has included modernizing classic labs or generating new modules based on novel research. He teaches courses for high school students, undergraduates, and graduate students (M.S. and Ph.D.).
He was also integral in the design and setup of the Automation Lab used by the M.S. Automated Science program at Carnegie Mellon University.
Disclosure information not submitted.
Monday, February 7, 2022
4:30 PM – 5:30 PM