Shih-Yi Tseng
Data Scientist
San Francisco, California, United States
Summary
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SeniorShih-yi Tseng is a neuroscience postdoctoral researcher at UCSF with nine years of interdisciplinary experience bridging medicine, physics, and computational neuroscience. Trained as an MD and a PhD from National Taiwan University and Harvard, she builds scalable data pipelines and applies machine learning to terabyte-scale neural datasets from behaving mice. Her work at the Harvey Lab combined optical imaging, reinforcement learning and LSTM-based behavioral modeling, and custom TensorFlow analyses to reveal how cortical representations support flexible navigation decisions. She has hands-on expertise in experimental techniques from in-vivo calcium imaging to immunostaining, and has developed novel information-theoretic and decoding metrics for spatial organization of neural codes. Based in San Francisco, she blends clinical insight with rigorous quantitative modeling to translate complex neural recordings into testable cognitive hypotheses. A lesser-known strength is her experience architecting MySQL systems for large neurodata, enabling reproducible analyses across massive datasets.
9 years of coding experience
Github Skills (14)
nwb10
electrophysiology10
datajoint9
python9
neuroscience9
reproducible-research9
data-analysis7
machine-learning6
visualization4
imaging4
preprocessing4
generalized-linear-models2
data-visualization2
tensorflow1
Programming languages (3)
Github contributions (5)
sytseng/GLM_Tensorflow
May 2022 - Sep 2022
Contributions:1 release, 10 commits, 9 pushes in 3 months
sytseng/GLM_Tensorflow_2
Sep 2022 - Aug 2024
Contributions:40 pushes in 1 year 11 months
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