Katrina Kalantar

Katrina Kalantar is a dedicated computational biologist with a focus on leveraging next-generation sequencing data to enhance human health. With a Ph.D. in Computational Biology and Bioinformatics from the UC Berkeley-UCSF Program and a Bachelor of Science in Computer Science with a specialization in Bioinformatics from the University of California San Diego, she has a strong educational foundation. Katrina's research primarily revolves around advancing diagnostic methods for infections using next-generation metagenomic sequencing, emphasizing algorithm development, machine learning applications, and data interpretation for diagnosing lower respiratory tract infections. She is enthusiastic about collaborating in dynamic settings to devise innovative analytical strategies in the realm of translational personalized medicine. Her expertise spans large-scale next-generation sequencing data analysis, pipeline development, metagenomics, biomarker discovery, statistical analysis, machine learning, and data visualization. Proficient in Python, R, bioinformatics tools, and D3.js, Katrina is well-versed in the technical aspects of her field.