Lisha Chen

Lisha Chen is an Assistant Professor in the Department of Statistics at Yale University, located at 24 Hillhouse Avenue, New Haven. Her academic work focuses on developing statistical methodologies for high-dimensional data analysis, with particular emphasis on applications in machine learning and medical research. She maintains active research collaborations as evidenced by her publication record in top statistical journals.

Her core research explores:

• Dimension reduction techniques including multidimensional scaling and sparse modeling
• Advanced regression methods such as reduced-rank regression and variable selection
• Statistical learning applications in autism research using eye-tracking data
• Novel algorithms for imbalance learning and multivariate testing

Her work bridges theoretical statistics with practical applications in medicine and social sciences.

Analysis of her 12 most recent publications (2008-2014) reveals three primary research streams:

1. Development of dimension reduction frameworks for visualization and analysis
2. Innovation in variable selection methodologies for regression and classification
3. Application of statistical learning to autism spectrum disorder research

Her publications demonstrate consistent focus on solving high-dimensional problems through novel statistical computing approaches.

At Yale, she has taught multiple courses including:

• Data Analysis (Fall semesters: 2006-2008, 2011-2013)
• Introductory Statistics (Spring 2013)
• Data Mining and Machine Learning (Spring semesters: 2007-2009, 2011-2013)
• Unsupervised Learning: Dimension Reduction and Clustering Analysis (Spring 2009)