April Rich, a sixth-year PhD student, hosted an online workshop aimed at democratizing access to bioinformatics tools in education.
Workshop empowers educators to explore gene expression with computational tools
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CoBB alumnus Abish Pius drives innovation as a data scientist at U.S. Steel
As a data scientist at U.S. Steel, Pitt alumnus Abish Pius, ‘20, is inspired by anything new and up and coming in the world of technology.
PhD student Swapnil Keshari recognized for mentorship excellence
CPCB student Swapnil Keshari is achieving statewide recognition for his work mentoring women in STEM.
Alumni success story: Sneha Mittal’s journey from science fairs to cancer research frontiers
CoBB alumna Sneha Mittal has landed a job that fuels her passion for cancer research. She now works as a bioinformatics analyst in New York City.
Yu-Chih Chen unlocks the power of deep learning to improve cancer research
Assistant Professor Yu-Chih Chen is harnessing the power of computational algorithms to improve cancer research.
Alumni success story: Glenn Mersky, clinical informatics specialist
CoBB graduate Glenn Mersky is working at the intersection of biology and machine learning to address key questions in cancer research.
Laura Strube wins an Intersect Fellowship award to support her immunology and computational biology research
Postdoctoral researcher Laura Strube has been awarded an Intersect Fellowship through the American Association of Immunologists.
Graduate spotlight: Neha Cheemalavagu, PhD
Neha Cheemalavagu has graduated from the Joint Carnegie Mellon-University of Pittsburgh PhD Program in Computational Biology!
CSB’s Dennis Kostka awarded a grant for single-cell metabolism research through the Chan Zuckerberg Initiative
Associate Professor Dennis Kostka was awarded a grant through the Chan Zuckerberg Initiative (CZI) to strengthen his research on single-cell genomics data.
Associate Professor John Barton creates a computational method to study natural selection and population structure
Associate Professor John Barton has developed a computational method to enhance natural selection research.