Educational Webinar Series
In this free webinar series FAES faculty expand on topics they teach in their FAES courses.
Please check back regularly for future dates.
Data Science All Around Us: An Overview of Next Generation Sequencing
May 25, 2022
Sally Chang, PhD, Postdoctoral Fellow, NHGRI, NIH (BIOF 521)
An overview of the wide world of topics and techniques covered by next generation sequencing. The relevance of sequencing techniques to a broad range of scientists, both in terms of societal relevance (think Covid-19 genomics and CRISPR) and relevance to scientific research, even if it doesn’t currently involve sequencing. Preview of FAES offerings to help get up to speed on this important and quickly evolving field, no matter your experience level.
Advancing Understanding of Translational Science
January 11, 2022
Jessica M. Faupel-Badger, Ph.D., M.P.H., Chief, Office of Policy, Communications and Education, Education Branch, NCATS (MEDI 501, MEDI 502)
Lameese D. Akacem, Ph.D., AAAS Science & Technology Policy Fellow (Health Scientist), Office of Policy, Communications and Education, Education Branch, NCATS (MEDI 501, MEDI 502)
R vs Python: A Comparative Overview -choosing a first coding language-
August 11, 2021
Amanda Kowalczyk, PhD, Postdoctoral Researcher, University of Pittsburgh Department of Computational and Systems Biology (STAT 101, STAT 515)
Dr. Amanda Kowalczyk recently earned her PhD in computational biology with a genomics specialization from the University of Pittsburgh under advisement from Drs. Maria Chikina and Nathan Clark. She is currently working as a postdoctoral researcher in the Clark and Chikina labs prior to transitioning to a postdoctoral fellow position at Carnegie Mellon University supported by its Neuroscience Institute under co-advisement of Drs. Andreas Pfenning and Alison Barth. Dr. Kowalczyk has spent most of her research career building and using computational tools to analyze genomic data, with authorship on papers published in Science, eLife, MBE, and Bioinformatics. Outside of her research, she greatly enjoys teaching a variety of topics related to coding, statistics, and genomics.
Find information about other courses and workshops.