With over four years of experience in various industries, I have utilized AI capabilities to solve business problems in insurance, transportation, and education. My areas of expertise include statistical learning, predictive modeling, graph neural network, computer vision, large language models, and interpretable machine learning. I share my not-so-profound thoughts on experimenting with data.
In my free time, I enjoy reading books while listening to drawaurora, immersing myself in nature, and running.
Courses Taken
ML for Trading by Applied AI
Customer Analytics by UCSD
AI4Chemistry course by EPFL
Writing in the Sciences by Stanford
Advances in Computer Vision by MIT
Mining Massive Data Sets by Stanford
Data Visualization Techniques by Stanford
Machine Learning with Graphs by Stanford
Language Modeling from Scratch by Stanford
The Modern Software Developer by Stanford
Geology and Geography by West Virginia View
Machine Learning Specialization by DeepLearning.AI
Artificial Intelligence in Medicine by Harvard University
Large Language Model Agents 2024 by Barkeley University
Large Language Model Systems by Carnegie Mellon University
Recent Advances on Foundation Models by Waterloo University
A course in Geographic Data Science by University of Liverpool
PyTorch for Deep Learning Bootcamp: Zero to Mastery by ZTM
Advanced Large Language Model Agents 2025 by Barkeley University
Data Analysis for Business, Economics, and Policy by Gabors Data Analysis