About Me
I am a Ph.D. student in Statistics at the University of California, Los Angeles. I am fortunate to be advised by Dr. George Michailidis. My research focuses on Interpretable Machine Learning, Time Series Analysis, and Out-of-Distribution (OOD) Generalization.
I also enjoy participating in Kaggle competitions and currently hold Expert status.
Beyond academia, I am a certified Q Grader and hold several certifications through the SCA Coffee Skills Program.
Interests
Interpretable Machine Learning
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Developing machine learning models that provide clear explanations for their predictions. My research focuses on creating interpretable algorithms that maintain high performance while offering transparency in decision-making processes, particularly for critical applications in healthcare and finance.
Time Series Analysis
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Analyzing temporal data patterns and developing forecasting models for sequential data. I work on novel approaches for time series decomposition, anomaly detection, and generation, with applications in financial markets, sensor data, and economic forecasting.
OOD Generalization
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Developing robust machine learning models that perform well on out-of-distribution data. My research addresses domain shift, distribution mismatch, and model generalization challenges to create more reliable AI systems that work across different environments and datasets.
Professional Coffee Brewing and Cupping
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Certified Q Grader and SCA professional with expertise in brewing, sensory evaluation, and green coffee. I was among the first certified Q Graders in Chengdu, China. My interests include extraction science, grind consistency, water chemistry, cupping protocols, brewing optimization, and coffee quality assessment.
