Nature continuously evolves, and so does everything in it—including new strains of pathogens that threaten the health and stability of our communities.
At Palmona Pathogenomics, we believe that staying ahead of infectious diseases will require a more profound understanding of what drives them in the first place. And that’s where we come in.Contact Us
In order to anticipate and respond to the future’s biggest challenges in managing infectious disease, we’ll need to think small. Our mission is to empower medical and public health communities to understand, outpace, and outsmart pathogens—including those we’ve never encountered before.
By providing our partners with actionable, data-driven insights in real time, we are positioned to elevate our collective approach to the infectious disease challenges of today, and tomorrow.
It’s time to look at pathogens with a fresh set of eyes. Palmona Pathogenomics pairs whole-genome sequencing with artificial intelligence (AI) and an expansive database for a unique pangenome perspective. Our approach is powered by:
We’re committed to forging a deeper understanding of pathogen behavior to not only counter antimicrobial resistance (AMR), but also respond to newly identified challenges.
By combining public domain and partner-acquired data with proprietary data management techniques, we’re building towards the world’s most comprehensive pangenome and patient metadata library.
Class-leading analytical and reporting tools like meta-analysis and predicted virulence and antibiotic risk scores power informed decisions and further research.
Meet the people behind the pathogens
Jonathan is Head of Bioinformatics and Analytics and a co-founder of Palmona Pathogenomics. He has worked in the field of systems biology for over 10 years. Previously, Dr. Monk conducted research on microbial pathogens in the Systems Biology Research Group at the University of California, San Diego where he also received his PhD. He earned his BSE from Princeton University. Jonathan’s research interprets and classifies genotypic and phenotypic differences in pathogens, applying advanced computational techniques to build and improve pan-genome architectures and metabolic network reconstructions. Jonathan has published over 100 papers in top-tier journals including Nature Biotechnology, Cell, and the Proceedings of the National Academy of Sciences.
Rebecca leads the commercial business including sales and marketing. Her background includes 20+ years in Eye Care biopharma, medical device, and global surgical sectors in several roles with increasing responsibility with companies including Allergan, Revance Aesthetics and Johnson & Johnson. She earned her BA from Lindenwood University in the St. Louis area. Priorities of her current role are to establish the corporate vision, commercialize and launch the platform and sales model and in addition bring education and awareness to the market informed by the newly established medical advisory board.
Charles (CJ) Norsigian, Ph.D., joined Palmona Pathogenomics as a founding team member in 2021 and is a Senior Data Scientist. He is also an entrepreneur and innovator, passionate about transforming healthcare through excellence in computational biology. Prior to joining Palmona Pathogenomics, he received his PhD in Bioengineering from the University of California, San Diego working in the Systems Biology Research Group with Professor Bernhard Palsson. At UCSD CJ’s research focused on the intersection of systems biology, infectious disease, genetics, and machine learning. His work has resulted in numerous publications including first-authored articles in the Proceedings of the National Academy of Sciences, Nature Methods, and Nucleic Acids Research. CJ obtained his B.S. in Biomedical Engineering from the University of Virginia with high distinction where he was a Rodman Scholar.
Jennifer is Head of Health Informatics. Her background includes 15+ years in health system administration, patient navigation and international destination medicine programs in academic medical center and community health environments. She has also led executive philanthropic operations for the UCI Health enterprise. Jennifer holds a PhD in Social Science from the University of Edinburgh and a MS in Population Health Management from Johns Hopkins University School of Public Health. She is currently finishing a Certificate in Clinical Informatics from Johns Hopkins University School of Medicine. Priorities of her role are to cultivate health system and public health partnerships and implementation science around interoperability, data exchange, and clinical workflow integration for genomic R&D and commercial initiatives.
Saugat is a Data Scientist with expertise in microbial genomics. He earned his B.S. in microbiology from the University of Washington and his Ph.D. from the University of California, San Diego. His research focuses on building statistical and machine learning models to characterize pathogens from the molecular to the population level. At Palmona Pathogenomics, Saugat applies these models to provide real-time analysis and aid in decision-making by critical players in infectious disease control.
Want to learn more about what Palmona Pathogenomics can do for your organization?
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