Monica Liu

Shanahan Postdoctoral Fellow at the Allen Institute for Brain Science and the University of Washington

I am a postdoctoral fellow at the Allen Institute and the University of Washington's Computational Neuroscience Center. Currently, I research the neural mechanisms of task-driven motor learning through the lens of neural dynamics. In my PhD, I studied mechanisms of sensorimotor integration in the spinal cord and in cortex for sensory restoration in neuroprosthetics and brain-computer interfaces, using both computational models and clinical data. In the long-term, I want to study interactions between cognition, sensation, and motor control to develop neurotechnologies to restore quality of life.

Education and Experiences

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PhD in Bioengineering, Specialization in Neural Engineering
University of Pittsburgh, Department of Bioengineering

August 2016 - August 2021, Pittsburgh, Pennsylvania

Advisors: Douglas Weber and Aaron Batista

  • Study the neural mechanisms of sensorimotor integration in the dorsal root ganglia and cortex.
  • In the dorsal root ganglia, neural coding of tactile stimuli depends on both the force and texture of the stimulus. In particular, rapidly-adapting afferents encode texture information during the offset of the stimulus, whereas force information is encoded in the average firing rate of the population.
  • Examined how visual and proprioceptive feedback were incorporated into BCI control in a person who was completely paralyzed below the neck but retained intact somatosensation.

Data Engineer
Novartis' Institue for Biomedical Research, NX Informatics

August 2015 - August 2016, Boston, Massachusetts

  • Develop software to support bioinformatics research
  • Build a distributed processing system using Apache Spark to analyze large scale genomic data
  • Implement infrastructure to process and analyze big data efficiently
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3
B.S. Biology, B.A. Computer Science
University of Virginia

August 2011 - May 2015, Charlottesville, Virginia

Undergraduate Research Assistant, Center for Diabetes Technology

  • Assisted in clinical trials that tested the effectiveness of an artificial pancreas system in people with type I diabetes. This involved teaching participants how to use the artificial pancreas software, and ensuring that the software was functioning properly.
  • Worked on building an algorithm to estimate insulin sensitivity over time based on glucose readings and other physiological variables. This estimate was built into the artificial pancreas system to provide closed-loop estimates of required insulin in response to a subject’s meals.

Undergraduate Research Assistant, Siller Lab, Department of Biology

  • During spinal cord injury, Wallerian degeneration results in axon degeneration. When axons degenerate, they exhibit axon blebbing–small circular interruptions along the axon. In a fluorescent microscopy image, these blebs need to be counted but this is a manual and time-intensive process. Automated bleb counting methods must be able to distinguish between axon blebs and axon crossings, as the brightness profile of blebs and crossings look very similar.
  • Developed a MATLAB script that automates bleb counting and can distinguish between axon blebs and axon crossings

Undergraduate Research Assistant, Taylor Lab, Department of Biochemistry and Molecular Genetics

  • A common treatment for chronic lymphocytic leukemia is monoclonal antibody (mAb) therapy. However, leukemias can become resistant to mAb therapy over time because the cell-surface antigen that mAbs target is presented on the cell surface at lower and lower frequency. One alternative is to activate the innate immune system via the complement pathway. The complement pathway recruits proteins to the cell surface that results in the formation of a membrane attack complex. This complex creates a hole in the cell membrane, causing the cell to rupture.
  • Assisted in experiments to develop mAbs that recruited the complement system to the surface of cancerous B-cells, and quantified how likely these mAbs were to have off-target effects that resulted in platelet destruction

Publications and Projects

NeuroActivities

A website focused on giving students hands-on experience with well-known neuroscience behavioral tasks and analyses.

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HapticEnvironment

Graphic and haptic interface for Force Dimensions robots

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MessageNetwork

High-speed UDP network messsaging system to coordinate experimental data collection modules

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Myoelectric Tetris

Myoelectric control of Tetris using Backyard Brain’s EMG SpikerBox.

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Reflex modulation and functional improvements following spinal cord stimulation for sensory restoration after lower-limb amputation
medRxiv December 2023

Ashley N Dalrymple, Rohit Bose, Devapratim Sarma, Bailey A Petersen, Beatrice Barra, Ameya Nanivadekar, Tyler J Madonna, Monica F Liu, Isaiah Levy, Eric R Helm, Vincent J Miele, Marco Capogrosso, Lee E Fisher, Douglas J Weber

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Volitional control of movement interacts with proprioceptive feedback in motor cortex during brain-computer interface control in humans
medRxiv February 2024
Monica F Liu, Robert A Gaunt, Jennifer L Collinger, John E Downey, Aaron P Batista, Michael L Boninger, Douglas J Weber

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Lecture Notes on PCA and K-Means
Guest lectures in Quantiative Systems Neuroscience

Lecture notes for University of Pittsburgh’s BioE 1586: Quantitative Neuroscience, taught by Dr. Aaron Batista

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Lecture Slides on Population Coding and Neuronal Variability
Guest lectures in Introduction to Computational Neuroscience

Lecture notes for University of Washington’s AMATH 342: Introduction to Computational Neuroscience, taught by Dr. Eric Shea-Brown

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Photography

I take pictures for fun! Usually, when I am hiking. Hopefully, this section will be more fleshed out soon.

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Awards and Honors