Luke Shaheen
Sr. Advisor, Early Preclinical Development at Eli Lilly and Company
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolLuke Shaheen is an auditory neuroscientist and data scientist with 11 years of experience translating complex neural signals into actionable insights for gene therapy and hearing research. Currently Sr. Advisor in Early Preclinical Development at Eli Lilly (formerly leading physiology at Decibel/Regeneron), he designs and analyzes in vivo studies, develops DSP and automated analysis algorithms, and integrates physiology pipelines across CROs and enterprise systems. His background in electrical engineering and firmware informs robust experimental hardware and real-time stimulus/control software, while his computational work spans Python, TensorFlow, MATLAB, and AWS for scalable processing. Notably, he has shown that midbrain auditory circuits exhibit task-dependent plasticity previously attributed mainly to cortex, and built a novel automated ABR thresholding algorithm that improved data quality across programs. Based in Boston, he excels at communicating technical results to both scientists and non-scientists and bridging bench neuroscience with production-ready computational tools.
11 years of coding experience
6 years of employment as a software developer
PhD, Speech and Hearing Bioscience and Technology, PhD, Speech and Hearing Bioscience and Technology at MITBS, Electrical Engineering, BS, Electrical Engineering at Northeastern University
Github Skills (29)
computational-neuroscience9
mathematical9
electrophysiology9
spike9
modeling8
python8
neuroscience8
drift8
baduk8
connectivity8
matching6
time-series6
cross-correlation6
recording6
plugin6
Programming languages (5)
Github contributions (5)
LBHB/phy
Nov 2016 - Nov 2021
Spike sorting, analysis, and visualization of ephys data in Python
Contributions:23 pushes, 3 branches in 5 years 1 month
pythonvisualization
LBHB/phy-contrib
Nov 2016 - Apr 2019
Contributions:35 commits, 26 pushes in 2 years 6 months
phypythonplugin
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