I'm a PhD candidate specializing in recommender systems, with a research focus on fairness-aware algorithms, data mining, and machine learning
I have hands-on experience with Python, data analysis, and building machine learning models, along with working on real-world datasets. My technical interests include recommendation algorithms, user behavior modeling, and AI system evaluation
In teaching, I focus on simplifying complex concepts and connecting theory with practical applications. I aim to help students build strong fundamentals while also developing problem-solving skills through real examples and guided practice. I adapt my teaching style based on each student’s background to ensure effective learning outcomes.