Ming H
Instructor at Baylor College of Medicine
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolMing H is an instructor in the Department of Neuroscience at Baylor College of Medicine with 11 years of research experience spanning molecular to circuit-level brain function. Trained initially as an applied physicist, he blends rigorous physics and mathematics with expertise in electrical/optical engineering, programming, multi-channel neurophysiology, and multi-photon imaging. His PhD in systems/vision neuroscience and subsequent positions at UT Houston and MIT’s Picower Institute focused on cell-type-specific population coding and neural computation. Ming seeks interdisciplinary collaborations that bring machine learning, engineering, and quantitative theory to practical neuroscience questions. He is comfortable bridging theory and hands-on experimental work, translating complex biophysics into testable models and technologies. Based in Houston, he combines deep academic pedigree with a pragmatic, tool-building approach to understand and apply brain science.
11 years of coding experience
Doctor of Philosophy (PhD), System neuroscience, Doctor of Philosophy (PhD), System neuroscience at University of Chinese Academy of SciencesBachelor's degree, Applied Physics, Bachelor's degree, Applied Physics at Huazhong University of Science and Technology
Chinese, English
Github Skills (118)
qt9
python9
genomics9
single-cell-genomics9
visualization9
bioinformatics9
cran9
scientific-visualization9
docker-compose8
gene-expression8
neuroscience8
golang7
spatial-transcriptomics7
journal7
numpy7
Programming languages (10)
Github contributions (5)
ZeitgeberH/patchview
Jun 2022 - Jan 2023
python toolkits and GUI for multi-patch whole-cell data analysis and visualization
Contributions:8 releases, 1 review, 89 commits in 6 months
patchdata-analysispythonguitoolkits
ZeitgeberH/NeuroM
Aug 2022 - Sep 2024
Neuronal Morphology Analysis Tool
Contributions:2 releases, 13 pushes, 1 branch in 2 years 1 month
connectivityneurosciencemorphologycomputational-neurosciencemorphology-analysis
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