Alexander Hsu, Ph.D.
Senior Data Scientist
Nashville-Davidson, Tennessee, United States
Summary
👤
Senior🎓
Top SchoolAlexander Hsu, Ph.D. is a senior data scientist with six years of experience who translates deep neuroscience and neural signal processing expertise into customer-focused machine learning solutions at Huntington National Bank. Trained at Carnegie Mellon and experienced in brain-computer interfaces and neuromorphic research, he brings rigorous experimental design and signal-processing rigor to behavioral analytics and product-facing models. His background ranges from wet-lab neurobiology to production analytics, enabling him to bridge domain science and scalable engineering. Based in Nashville, he is passionate about using computational methods to improve user experience and uncover subtle patterns in customer behavior that drive product impact.
7 years of coding experience
1 year of employment as a software developer
Master's degree, Neurobiology and Anatomy, Master's degree, Neurobiology and Anatomy at Boston University School of MedicineBachelor of Science (BS), Cell/Cellular and Molecular Biology, Bachelor of Science (BS), Cell/Cellular and Molecular Biology at University of Illinois Urbana-ChampaignDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Carnegie Mellon University
Spanish, Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
pattern-recognition10
openpose10
dimensionality-reduction10
classification10
neuroscience10
segmentation10
toolbox9
data-efficient9
deep-learning6
pose-estimation6
electrophysiology5
drift4
baduk4
spike4
sorting2
Programming languages (2)
Github contributions (5)
YttriLab/B-SOID
Jul 2019 - May 2021
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
Contributions:5 releases, 1 review, 278 commits in 1 year 10 months
classificationpattern-recognitionsegmentationdeeplabcutunsupervised-learning-algorithm
YttriLab/openfield_data
Apr 2020 - Jun 2021
Contributions:1 release, 2 pushes, 1 tag in 1 year 1 month
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