Franklin Fuller
Machine Learning Engineer at Unlearn.AI
Redwood City, California, United States
Summary
👤
Senior🎓
Top SchoolFranklin Fuller is a Machine Learning Engineer with 12 years of experience applying advanced ML and experimental techniques to scientific problems, currently building clinical-trial-focused ML at Unlearn.ai in Redwood City. He holds a PhD in Biophysics from the University of Michigan and has a strong experimental background from postdoctoral and fellowship roles at LBNL and SLAC where he combined instrument design, high-performance data analysis, and uncertainty-aware models like variational Gaussian Processes and normalizing flows. Franklin’s work bridges physics-driven experimental design and practical ML for healthcare, with hands-on expertise in CAD, spectrometer design, and deploying ML for noisy, high-dimensional spectroscopy and EHR data. Notably, he has translated strategies for exploiting chaotic XFEL pulse fluctuations into machine-learning signal analysis—an unconventional cross-disciplinary insight he now leverages for patient-specific outcome prediction.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biophyics, Doctor of Philosophy (Ph.D.), Biophyics at University of Michigan - Rackham Graduate SchoolUniversity of Minnesota Twin Cities
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
wrapping7
statistics6
distributions6
probability6
julia5
nonlinear5
nonlinear-optimization4
optimization4
data-science3
theano3
gaussian-processes2
machine-learning2
mathematical-programming2
recurrent2
gaussian2
Programming languages (3)
Github contributions (5)
fullerf/Agilent33600A
May 2015 - Oct 2019
Contributions:6 pushes, 1 branch in 4 years 6 months
fullerf/Time_Domain_Signal_System_Identification
Nov 2013 - Mar 2014
Contributions:44 commits in 4 months
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