Ben Kessler
Graduate Research Assistant
Detroit Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolBen Kessler is a doctoral candidate in Epidemiologic Science at the University of Michigan with a decade of experience applying environmental metabolomics and exposomics to cardiometabolic and perinatal health. He combines advanced analytical planning and longitudinal study design with hands-on untargeted metabolomics and lipidomics workflows to identify pathways linking chemical mixtures and diet to disease. His work spans academic and public health settings—from co-leading multi-omics reviews at Emory to performing serological assays and building relational databases at the CDC—reflecting both lab and data-science fluency. Ben routinely translates complex methods for teaching and stakeholder audiences, having supported graduate courses and community-focused pediatric nutrition evaluations in Flint. He is driven by pragmatic, data-driven solutions to reduce chronic disease burden and often pairs high-dimensional omics with traditional epidemiologic approaches to reveal nonobvious exposure–health links.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Epidemiologic Science, Doctor of Philosophy - PhD, Epidemiologic Science at University of MichiganMaster of Public Health - MPH, Environmental Health and Epidemiology, Master of Public Health - MPH, Environmental Health and Epidemiology at Emory UniversityBachelor of Science - BS, Physiology, Bachelor of Science - BS, Physiology at Michigan State University
Spanish
Github Skills (39)
python8
deep-learning8
machine-learning8
pytorch8
data-science8
onnx7
inference7
tensorflow7
jax7
classification7
computer-vision7
object-detection7
streamlit6
tensorrt6
yolov56
Programming languages (2)
Github contributions (5)
udevnl/computervision
Feb 2016 - Jul 2017
Contributions:1 release, 6 commits, 9 pushes in 1 year 5 months
udevnl/tensorflow101
Jan 2017 - Sep 2017
Contributions:10 pushes, 1 branch in 7 months
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