Zoey "Zongyu" Li

Zongyu (Zoey) Li

Applied Machine Learning Researcher, Ph.D. student

University of Virginia

Biography

I aim to build real-world ML solutions, concentrating on software development, machine learning, data science, and data engineering.

Currently pursuing a Ph.D. in machine learning, deep learning with application to robotics data science. I work closely with surgeons in the university hospital, and my work has appeared in top machine learning medical journals and robotics conferences. I want to expand my applied ML experience to many other applied domains after graduation.

Education

  • PhD in Machine Learning & Deep Learning,
    Electrical and Computer Engineering,
    University of Virginia

  • BS in Biomedical Engineering & Electrical and Computer Engineering,
    Duke University, 2020

Skills




Programming Languages

Python
MATLAB
Java
SQL
NoSQL
Cypher



Machine Learning Tools

PyTorch
Keras
MLflow
Ray Tune
Dash
Pandas



ML Domain Knowledge

Computer Vision
Deep Learning
Feature Engineering
Probability and Statistics
InterpretML


Experience


  • Researcher in Applied Machine Learning
    Dependable Systems and Analytics Lab, University of Virginia

    Jun 2020 – Present

  • Applied Science Intern
    Amazon

    May 2023 – Aug 2023

  • Undergraduate Researcher
    Gong Lab, Duke University

    Jan 2019 – Mar 2020

    3D Convolutional Neural Network on Active Neuron Segmentation

  • Undergraduate Researcher
    Nicolelis Lab, Duke University

    Jan 2018 – Aug 2018

    (Brain Computer Interface) Analysis of Multielectrode Arrays Recordings from Primary Motor (M1) and Dorsal Premotor Cortices (PMd) of Nonhuman Primates.

Selected Publications

  • Oral Spotlight (2022). (First Author) Runtime Detection of Executional Errors in Robot-Assisted Surgery. The 39th IEEE Conference on Robotics and Automation (ICRA).
  • Oral Spotlight (2023). (Co-First Author) Towards Surgical Context Inference and Translation to Gestures The 40th IEEE Conference on Robotics and Automation (ICRA).
  • Journal (2022). (Co-First author) Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments. The International Journal of Medical Robotics and Computer Assisted Surgery (IJMRCAS).

Project Visuals


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Certifications


  • Coursera: Image and Video Processing: From Mars to Hollywood with a Stop at the HospitalImage and Video Processing: From Mars to Hollywood with a Stop at the Hospital
  • Coursera: Neural Networks and Deep Learning
  • Coursera: Convolutional Neural Networks
  • Coursera: Deep Neural Network: Hyperparameter Tuning, Regularization and Optimization
  • Coursera: Structuring Machine Learning Projects
  • Stanford Online: Artificial Intelligence Principles and Techniques

Hobbies


Contact


I'd Love To Connect With You.

Let me get to know more about you.

Email me at
zongyuli20@gmail.com

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©Zongyu Li All rights reserved 2023. Created by Zongyu Li.