Giana Cirolia is a computational biologist and PhD candidate at UC Berkeley specializing in human microbiome research and equitable machine learning for disease classification. With eight years of experience including research at the Chan Zuckerberg Biohub Network, she develops methods to ensure microbiome-based models generalize across diverse geographies and avoid overfitting to homogeneous datasets. Motivated by personal experience overcoming an immune-mediated inflammatory condition, she focuses on translational areas like regenerative cosmetics, nutritional psychology, and reversing digestive disorders to make precision microbiome medicine more accessible. Giana is passionate about cross-disciplinary collaboration between biologists and computational scientists and aims to build practical, fair tools that improve patient outcomes.
8 years of coding experience
3 years of employment as a software developer
Human Microbiome and Machine Learning, Computational Biology, Human Microbiome and Machine Learning, Computational Biology at University of California, Berkeley
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