Jessie Liu
Postdoctoral Scholar at University of California, San Francisco
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJessie Liu is a postdoctoral scholar and computational neuroengineer with a decade of experience decoding speech production from ECoG using signal processing and machine learning. Trained through the UC Berkeley–UCSF Bioengineering program and now based in the Chang Lab at UCSF, Jessie combines rigorous experimental neuroscience with algorithmic approaches aimed at clinically viable speech neuroprosthetics. Their work bridges intracranial electrophysiology, speech-motor control theory, and translational device design, emphasizing real-world clinical constraints. Jessie graduated summa cum laude in bioengineering from the University of Pittsburgh and brings hands-on expertise in neurophysiology, imaging, and high-throughput analysis from earlier research roles. They maintain an active research portfolio and public presence (jessierliu.com), reflecting a commitment to open, reproducible computational neuroscience. A distinguishing thread across their career is translating deep mechanistic insight about speech motor control into practical decoding systems for people with communication impairments.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Bioengineering, Doctor of Philosophy - PhD, Bioengineering at University of California, BerkeleyHigh School, High School at Randolph High SchoolBachelor of Science (B.S.), Bioengineering, Summa Cum Laude, Bachelor of Science (B.S.), Bioengineering, Summa Cum Laude at University of Pittsburgh
English, Korean
Github Skills (10)
hdf9
neuroscience9
nwb9
open-science8
reproducible-research8
open-data8
python8
image-processing7
open-source7
time-series7
Programming languages (3)
Github contributions (5)
jessierliu/img_pipe
Jan 2020 - Feb 2022
Image processing pipeline for ECoG data
Contributions:2 PRs, 4 pushes in 2 years
processing-pipelineimage-processingecogpipeline
jgmakin/ecogVIS
Oct 2019 - Dec 2019
Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.
Contributions:5 PRs, 17 pushes, 1 branch in 1 month
nwbpythontime-series
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