Yiqi Huang
Graduate Student
United States
Summary
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Rockstar🎓
Top SchoolYiqi Huang is a neuroscience PhD candidate at Emory University with nine years of research experience probing how inflammation impairs motivation in neuropsychiatric disorders using human induced pluripotent stem cell (hiPSC) models. Her work bridges cellular neuroscience and behavioral relevance, informed by prior investigations at Zhejiang University into interneuron programmed cell death and stress-related aging pathways in mouse brain. She has hands-on teaching experience at the undergraduate level and contributes to mental health support through volunteer crisis counseling, reflecting a commitment to translational impact and community care. Skilled in experimental design and cellular models, she combines rigorous basic science with a focus on mechanisms that could inform future therapeutics. An early-career researcher based in the United States, she brings a cross-cultural training background and a track record of adapting animal findings to human-relevant systems.
9 years of coding experience
2 years of employment as a software developer
University of GeorgiaDoctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at Emory UniversityBachelor's degree Applied Bioscience, Bachelor's degree Applied Bioscience at Zhejiang University
Chinese, English
Github Skills (27)
machine-translation10
entity-linking10
question-answering10
natural-language-processing10
nlp10
chainer9
text-to-speech9
speaker-diarization9
speech-enhancement9
voice-conversion9
speech-synthesis9
kaldi9
pytorch8
speech-processing8
ctc7
Programming languages (3)
Github contributions (5)
didi/ChineseNLP
Mar 2019 - Jul 2021
Datasets, SOTA results of every fields of Chinese NLP
Contributions:1 review, 104 commits, 34 PRs in 2 years 4 months
natural-language-processingnlpchinese-nlpmachine-translationchinese-word-segmentation
Huang17/ChineseNLP
Mar 2019 - Mar 2019
Datasets, SOTA results of every fields of Chinese NLP
Contributions:21 PRs, 60 pushes, 2 branches in 4 days
nlpchinesefieldsdatasetsnatural-language-processing
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