About Me
I am a master student in Applied Data Science at the University of Southern California, working as a research assistant at North Carolina State University under the guidance of Dr. Tran. My research focuses on Interpretable Machine Learning and I am currently working on Time Series OOD Generalization.
I am actively participating in Kaggle competitions and currently hold Expert level status.
I am also a professional coffee brewer and cupper with SCA certificates. I share brewing techniques and coffee tasting feedback in my Coffee Notes.
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 SCA professional specializing in coffee brewing techniques and sensory evaluation. I explore the science behind extraction parameters, grind consistency, and water chemistry to achieve optimal flavor profiles. My expertise includes cupping protocols, brewing method optimization, and coffee quality assessment.
