Xinyue Wang

Xinyue Wang

Graduate Student of Bioengineering

University of Pennsylvania

About Me

Hi! I am a master student in the Department of Bioengineering at University of Pennsylvania, My research interests include Causal Discovery, Causal Representation Learning and Machine Learning Applications in all kinds of real-world problem. My ultimate question thinking now is, can we develop a world model based on causality?

Currently, I am doing research about Learning Causal Discovery in large complex system in KordingLab, advised by Dr. Konrad Kording. Prior to UPenn, I earned a BEng degree in Biomedical Engineering from Shenzhen University and conducted the Neural Feedback System development in MINDLab, Advised by Dr. Gan Huang. Meanwhile, I am a data science enthusiast and excited about applying machine learning to solve real-world problems, have won multiple medals on Kaggle.

I will join Dr. Biwei Huang’s lab at University of California, San Diego as a HDSI PhD student in 2023 Fall.

Interests
  • Causal Discovery
  • Causal Representation Learning
  • Machine Learning Applications
Education
  • MSE in Bioengineering, 2023

    University of Pennsylvania

  • BEng in Biomedical Engineering, 2021

    Shenzhen University

  • Exchange Student, 2020

    University of Pennsylvania

Experience

 
 
 
 
 
Kording Lab
Student Researcher
Nov 2021 – Present University of Pennsylvania, Pennsylvania, United States

Responsibilities include:

  • Conduct large complex system simulations and perturbations studies on NMOS6502 microprocessor.
  • Design meta-learning algorithms to infer the causal relationships between system parameters.
  • Collaborate with the lab to do research on Theoretical Deep Learning and Causal Inference.
 
 
 
 
 
UPenn CIS 522 Deep Learning
Teaching Assistant
Jan 2023 – May 2023 University of Pennsylvania, Pennsylvania, United States

Responsibilities include:

  • Led and mentored a pod of 15 students in the twelve-week Deep Learning study.
  • Helped three groups of students design and develop their Deep Learning projects.
  • Designed and organized homework and tutorials.
 
 
 
 
 
Neuromatch Academy Deep Learning Program
Teaching Assistant
Jul 2022 – Jul 2022 California, United States

Responsibilities include:

  • Led and mentored students in the three-week Deep Learning tutorials study.
  • Helped students design and develop their Deep Learning projects based on Computer Vision.
  • Managed and organized tutorials learning and communications with mentors and students.
 
 
 
 
 
Kerry Rehab
Engineer Intern
Nov 2020 – Dec 2020 Guangdong, China

Responsibilities include:

  • Conduct data process pipeline development to analyze and model the EEG data.
  • Assisted recruit subjects and collected EEG data for following neural feedback analysis.
 
 
 
 
 
Laboratory of Medical Informatics & Neural Dynamics
Student Researcher
Sep 2019 – May 2021 Shenzhen University, Guangdong, China

Responsibilities include:

  • Developed a Python based real-time brain wave visualization tool for host computer
  • Developed a multi-module C++ based real-time Neural Feedback System on OpenBCI
  • Designed and conducted tests to quantify the intensity and depth of the system’s modulation of brain wave

Accomplish­ments

Shenzhen University
Fellowships and Awards

Fellowships and Awards during acquisition of Bachelor’s Degree:

  • Twice Learning Star
  • Twice Innovation and Invention Star
  • Outstanding Bachelor Thesis
  • Honor Prize in the 2019 International Mathematical Contest in Modeling
  • Third Place in the 2019 National Biomedical Engineering Design Competition

Projects

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Could a Neural Network Understand Microprocessor

Could a Neural Network Understand Microprocessor

Exploring causal relationships inside a large complex system with deep learning

Gold Finger

Gold Finger

Finger flexion angles prediction from ECoG by machine learning

Sartorius Neuronal Cells Segmentation

Sartorius Neuronal Cells Segmentation

A robust deep learning pipeline for segmenting neuronal cells in microscopy images.

Shallow Mind

Shallow Mind

A Pytorch-lightning based Deep Learning framework for personal usage

Turtle Soup Generator

Turtle Soup Generator

An interactive situation puzzle game system

Recent Publications

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(2022). Learning Causal Discovery. arXiv preprint arXiv:2209.05598.

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(2022). Neural Networks as Paths through the Space of Representations. arXiv preprint arXiv:2206.10999.

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(2020). The Real Time EEG Phase Locked Feedback Control for Alpha Amplitude and Frequency Regulation: An OpenBCI Implementation. 2020 9th International Conference on Bioinformatics and Biomedical Science.

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