David Helminiak is a Ph.D. candidate and graduate research assistant in Electrical and Computer Engineering at Marquette University with a decade of hands-on experience in computational research and teaching. He develops neural network architectures and deep learning methods for dynamic sparse sampling and reconstruction of biological tissue in mass spectrometry imaging, bridging ML research with experimental acquisition. His background includes high-performance simulation work (DEM tools like LAMMPS/Chrono) and multiple teaching and research roles that sharpen both his practical systems skills and mentoring abilities. David has a rare combination of experimental instrumentation familiarity and algorithmic expertise, underscored by a track record of grant-funded undergraduate research and long-term institutional engagement. Based in Hales Corners, WI, he brings a collaborative, multidisciplinary approach to applied AI problems in biomedical imaging.
10 years of coding experience
4 years of employment as a software developer
Marquette University High School
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Marquette University
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