Learn from experts in both academia and industry positions at the CSB Seminar Series. We have an exciting line up planned for the fall semester!
Fall 2024 CSB Seminar Schedule
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Shikhar Uttam awarded Single-Cell Biology Data Insights grant from the Chan Zuckerberg Initiative
Assistant Professor Shikhar Uttam was awarded a Single-Cell Biology Data Insights grant from the Chan Zuckerberg Initiative (CZI) to support his computational biology research.
From Pitt to Google: Alumnus Ying Liu applies computational biology training to tech
Ying Liu, PhD ‘11, is building the future of technology as a software engineer at Google.
CPCB students publish innovative machine learning model in Nature Methods
Javad Rahimikollu and Hanxi Xiao, students in the Joint Carnegie Mellon-University of Pittsburgh PhD Program in Computational Biology (CPCB), led research on the machine learning tool SLIDE.
Workshop empowers educators to explore gene expression with computational tools
April Rich, a sixth-year PhD student, hosted an online workshop aimed at democratizing access to bioinformatics tools in education.
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.