Michael Mccann
Scientist at Los Alamos National Laboratory
Santa Fe, New Mexico, United States
Summary
👤
Senior🎓
Top SchoolMichael Mccann is a scientist with 11 years of research experience specializing in image reconstruction, leveraging signal processing, optimization, and machine learning to push the limits of imaging algorithms. He holds a PhD in Biomedical Engineering from Carnegie Mellon and has advanced his work through postdoctoral roles at EPFL and Michigan State before joining Los Alamos National Laboratory. Michael combines deep theoretical grounding with practical implementation skills, applying rigorous methods to real-world imaging problems often encountered in medical and national-lab contexts. Based in Santa Fe, he is comfortable working at the intersection of academia and government research, translating complex math into robust computational tools. An understated strength is his track record of sustained interdisciplinary collaboration across institutions and countries, which helps him navigate diverse problem domains and stakeholder needs.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.E.), Biomedical/Medical Engineering, Bachelor of Engineering (B.E.), Biomedical/Medical Engineering at University of MichiganDoctor of Philosophy (Ph.D.), Biomedical/Medical Engineering, Doctor of Philosophy (Ph.D.), Biomedical/Medical Engineering at Carnegie Mellon University
Github Skills (41)
image-reconstruction10
inverse10
image-processing10
javafx10
inverse-problems10
latex10
dsl9
tomography9
academia9
matlab9
imaging9
java9
biblatex9
linear-algebra9
citation9
Programming languages (4)
Github contributions (5)
tokkot/jabref
Oct 2015 - Oct 2015
Contributions:2 PRs, 1 push, 2 branches in 1 day
java-applicationbibdatabasesgraphicaldatabase
tokkot/logementParse
Aug 2015 - Aug 2015
Contributions:1 push, 1 branch in 1 day
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