Summary
Monica Liu is a neural engineer with 11 years of experience bridging computational neuroscience, sensorimotor integration, and neural prosthetics. Trained at the University of Pittsburgh (PhD) and seasoned through postdoctoral work at the Allen Institute and University of Washington, she combines population-level neural analysis with deep recurrent network models to probe learning and generalization. Her work spans dorsal root ganglia to motor cortex and hippocampal–prefrontal circuits, aimed at making brain–computer interfaces more intuitive by leveraging biological learning principles. Currently at The Feinstein Institutes, she brings both academic rigor and industry experience from roles in biomedical data engineering and translational research. An underappreciated strength is her fluency in both experimental and computational methods, enabling rapid iteration between neural data and model-driven hypotheses.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Neural Engineering, Doctor of Philosophy - PhD, Neural Engineering at University of Pittsburgh
Bachelor of Science (BS), Bachelor of Arts (BA), Biology, Computer Science, Bachelor of Science (BS), Bachelor of Arts (BA), Biology, Computer Science at University of Virginia
Spanish, Chinese, Chinese, English