Dr. Mehdi Mohammadi,
Ph.D and Project Management Professional (PMP)
CEO and Founder of Fluidome

Dr. Mohammadi received his, B.Sc., MSc, and Ph.D. in mechanical engineering and biomedical engineering, and has more than 13 years of experience working on multiple projects, including developing biomedical devices,  point of care devices, Lab on a Chip & Disc microfluidics platform, biosensor development, metabolomics based biomarker discovery and diagnosis of infectious diseases. In addition, he has published more than 40 journal articles and book chapters in prestigious journals. 

Stephanie Bishop Image
Dr. Stephanie Bishop, Ph.D.
CTO and Metabolomics Technology Developer of Fluidome

Dr. Bishop received her B.Sc. and Ph.D. in Chemistry and has more than five years’ experience working on multidisciplinary metabolomics projects, including analytical method development and validation. In addition, she has extensive experience in the Chromatography/Mass Spectrometry field and working with data scientists to develop new software tools for analytical chemistry applications and big data visualization.

Dr. Atefeh Rafiei, Ph.D.
CSO and Proteomics Technology Developer of Fluidome

Dr. Rafiei received her B.Sc., M.Sc., and Ph.D. in Chemistry and has a decade of experience in working on bio-analytical chemistry projects and initiatives. Notably, she studied Mass Spectrometry-based metabolomics in her M.Sc. and focused on structural proteomics in her Ph.D. She also has extensive hands-on experience in biochemical methods, data analysis, and computational modeling.

Dr. Soren Wacker, Ph.D.
Machine Learning and Software Engineering Technology Developer of Fluidome

Dr. Soren Wacker, is the Senior Bioinformatician and Data Lead in the Lewis Research Group where he currently leads the development of large-scale, multi-omics data integration pipelines for infectious diseases, integrating microbial genomics, proteomics, and metabolomics data. He holds a Ph.D. from the Georg-August University of Göttingen (Germany) and recently lectured for the Machine Learning for Biologists with Python course at the University of Calgary. He is currently developing and updating MINT software that simplifies metabolomics data analysis. 

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