Conference Presentation

• Machine Learning on Social Events: Cluster-Tree-MLE Analysis on Gun Protests Diffusion in Space-time Metric Space (2018) ( Post ; Github ; Conference Video )

Teaching

University of Wisconsin-Madison

• CS 539 - Introduction to Artificial Neural Networks (Fall 2020)
• Stat 324 - Introductory Applied Statistics for Engineers (2021)
• ECE 203 - Signals, Information, and Computation (Fall 2019 - Fall 2020)
• Statistics Learning Center - Teaching for R for Data Science(2021)

Intercommon Education, Hong Kong

• DHS 2001 - Society and Artificial Intelligence (Lecturer, 2021)

Key Courses Completed

• CS 880 - Quantum Computing (A)
• CS 861 - Theoretical Foundations of Machine Learning (A)
• CS 841 - Computational Cognitive Science (A)
• CS 776 - Advanced Bioinformatics (A)
• CS 766 - Computer Vision (A)
• CS 761 - Mathematical Foundations of Machine Learning (AB)
• CS 576 - Bioinformatics (A)
• CS 537 - Operating Systems (A)
• CS 532 - Matrix Methods in Machine Learning (A)
• CS 400 - Programming (III) (A)
• ECE 901 - Robustness Theory (A)
• ECE 830 - Estimation and Decision Theory (A)
• ECE 729 - Information Theory (A)

AI Specialization Completed

• Generative Adversarial Networks (GANs): 3-course specialization (2021)
• Deep Learning: 5-course specialization (2018)