About
I lead data science and engineering efforts to improve healthcare access in underserved…
Activity
2K followers
Experience
Education
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University of California, San Diego
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Thesis: Lung Nodule Classification & Localization
https://github.com/kshannon/ucsd-dse-capstone
Advisers: Dr. Mehrdad Yazdani & Dr. Bradley Voytek -
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Licenses & Certifications
Publications
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Portable Conduction Velocity Experiments using Earthworms for the College and High School Neuroscience Teaching Lab
Advances in Physiology Education
The earthworm is ideal for studying action potential conduction velocity in a classroom setting, as the simple linear anatomy allows easy axon length measurements, and the worm's sparse coding allows single action potentials to be easily identified. The earthworm has two giant fiber systems (the lateral and medial) with different conduction velocities that can be easily measured by manipulating the electrode placement and tactile stimulus. We here present a portable and robust experimental…
The earthworm is ideal for studying action potential conduction velocity in a classroom setting, as the simple linear anatomy allows easy axon length measurements, and the worm's sparse coding allows single action potentials to be easily identified. The earthworm has two giant fiber systems (the lateral and medial) with different conduction velocities that can be easily measured by manipulating the electrode placement and tactile stimulus. We here present a portable and robust experimental setup that allows students to perform conduction velocity measurements within a 30 minute - 1 hour lab session. Our improvement over this well-known preparation is the combination of behaviorally relevant tactile stimuli (avoiding electrical stimulation) with the invention of minimal, low-cost, and portable equipment. We tested these experiments during workshops in both a high school and college classroom environment and found positive learning outcomes comparing pre- and post-tests taken by the students.
Other authorsSee publication
Courses
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A/B Testing
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Brain Dynamics & Attention
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Cognitive Design Studio
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Cognitive Ethnography
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Data Analysis and Machine Learning with Spark (grad class)
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Data Analysis with R
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Data Visualization with D3.js
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Data Wrangling with MongoDB
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Database Management Systems
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Distributed Cognition
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Intro to Data Science
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Intro to Machine Learning
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Linear Algebra
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Machine Learning (grad class)
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Mirror Neuron System
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Modeling & Data Analysis
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Neural Dynamics of Cognition (grad Class)
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Neural Networks
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Principles of Computing with Python
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Probability & Statistics
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Python for Data Analysis
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Sensation and Perception
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Space, Time and the Brain (grad class)
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Spatial Representation in the Brain
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Systems Neuroscience (grad class)
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Projects
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Abnormal Bone Classification using DenseNet CNN
See projectThis project was for Stanford's MURA Bone X-Ray Deep Learning Competition. We built a DenseNet169 model using TensorFlow. We matched Stanford's baseline model results.
https://stanfordmlgroup.github.io/competitions/mura/
Honors & Awards
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HDSI Undergraduate Capstone Project 1st Place
UCSD HDSI
Best Capstone Prize, HDSI - Mentor (2024, 2025)
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Finalist - AI Grant (Lung Nodule Localization using Deep Learning)
AI Grant
Our UCSD Masters's thesis group (Tony, Reina, Kyle Shannon, Suman Gunnala, and Anil Luthra) were finalists in the AI Grant (http://aigrant.org) for our forthcoming project: 3D Convolutional Neural Network for Detecting Lung Nodules in CT Scans.
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NIH SBIR Phase 1 & 2 Awards
NIH
- Contributor ($850K+, 2011-2012)
Languages
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Spanish
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Recommendations received
1 person has recommended Kyle M
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