Assistant Professor Shikhar Uttam has launched a new graduate-level course: Bioimaging, Analysis and Spatial Biology.
Exploring the world of bioimaging analysis: A new graduate-level course offering
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How a master’s degree can launch your software engineering career
Have you ever wondered where a master’s degree in Computational Biomedicine and Biotechnology will take you? Read more about becoming a software engineer.
Graduate Spotlight: David Antolick, MS ‘25
As David Antolick nears the finish line of his Computational Biomedicine and Biotechnology (CoBB) master’s degree, he reflects on a whirlwind journey.
5 women leaders in biotechnology and biomedicine
In celebration of Women’s History Month, we are illuminating the scientific achievements of women in biotechnology and biomedicine.
CoBB student Harry Morford bridges the gap between computational biology and clinical care
Meet Harry Morford, a second-year student in the Computational Biomedicine and Biotechnology (CoBB) master’s degree program.
Six high-paying jobs for computational biomedicine and biotechnology MS degree graduates
Are you considering a master’s degree in computational biomedicine and biotechnology but wondering what doors it might open? We’ve got you covered!
Pitt alumnus Arjun Singh advances cancer research at UPMC Hillman Cancer Center
When Arjun Singh was exploring graduate school programs, he knew he wanted a degree that combined his interests in biotechnology and computer science. This led him to Pitt.
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.
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.
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.