Resume LinkedIn GitHub

Welcome, I'm Maeva.

I am a Data Science Fellow at Insight Data Sicence with a background in microbiology and bioinformatics. I am excited to work at the intersection of data science and the life sciences and leverage my experience in machine learning, data visualization and the analysis of complex biological datasets to solve real-world problems in the biotechnology field.

During my PhD in Alfred Spormann's lab at Stanford University, my research focused on the metabolism of slow-growing microorganisms, in order to better understand how deep-subsurface microorganisms can live for hundreds to thousands of years. During this time, I gained experience with different kind of biological datasets (sequencing, proteomics, flow cytometry) and analysis skills.

I love building useful products and visualizations that help users understand and derive insights from their data. Have a look at some of my projects below.

Before joining the Spormann lab, I graduated from the Ecole Centrale Paris, one of the top French Engineering School, in 2012, and obtained a M.S. in Environmental Engineering from Stanford University in 2013.

Selected Publications

• Fincker M, Spormann AM et.al, 2019, Metabolic reconstruction of globally distributed marine subsurface Chloroflexi genomes, in preparation.
• Fincker M, Spormann AM et.al, 2019, Metabolic stability of Dehalococcoides mccartyi under long term starvation, in preparation.
• Fincker M, Spormann AM. 2017. Biochemistry of catabolic reductive dehalogenation. Annu. Rev. Biochem. 86(1):357–86.
• Mayer-Blackwell K, Fincker M, et.al. 2016. 1,2-Dichloroethane exposure alters the population structure, metabolism, and kinetics of a trichloroethene-dechlorinating Dehalococcoides mccartyi consortium. Environ. Sci. Technol. 50(22):12187–96

See more on my Google Scholar profile.

Projects