About Me
Hi! I am a PhD student in the Halıcıoğlu Data Science Institute (HDSI) at University of California San Diego. My research interest lays in the intersection of Causality and Machine Learning, include Causal Discovery, Causal Representation Learning and Causal Machine Learning. My ultimate question is, can we discover world model with the self-consistent loop of autonomously Causal Discovery and Causal Inference.
Currently, I conduct causality-related research in HDSI, advised by Dr. Biwei Huang. Before joining in UCSD, I mainly focused on developing automated causal discovery algorithm for large complex system, advised by Dr. Konrad Kording. I am also interested in Brain-Computer Interface and Computational Neuroscience, and conducted research related to Neurofeedback system advised by Dr. Gan Huang. Meanwhile, I am a data science enthusiast, have won multiple medals on Kaggle.
- Causal Discovery
- Causal Representation Learning
- Causal Machine Learning
PhD in Data Science, present
University of California San Diego
MSE in Bioengineering, 2023
University of Pennsylvania
BEng in Biomedical Engineering, 2021
Shenzhen University
Exchange Student, 2020
University of Pennsylvania
Experience
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.
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.
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.
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.
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
Participated and won more than two silver medals in the Kaggle Competitions:
- 17th place Sartorius - Cell Instance Segmentation (Top 1%)
- 32nd place UW-Madison GI Tract Image Segmentation (Top 2%)
- 38th place chaii - Hindi and Tamil Question Answering (Top 4%)
- 50th place VinBigData Chest X-ray Abnormalities Detection (Top 4%)
- 73rd place Tabular Playground Series - Nov 2021 (Top 5%)
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
Recent Publications
Contact
- xiw159@ucsd.edu
- 215 921 1077
- 3234 Matthews Ln, La Jolla, CA 92093
- Book an appointment
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