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You're looking for information on the Center for Statistics and Data Science (CSDM) at the University of California, Berkeley!
The Center for Statistics and Data Science (CSDM) is a research center at UC Berkeley that focuses on advancing the field of statistics and data science. The center is dedicated to developing new statistical methods and computational tools to analyze and interpret complex data, with applications in various fields such as biology, medicine, social sciences, and more.
Some of the key areas of research at CSDM include:
- Statistical Machine Learning: Developing new statistical methods for machine learning, including deep learning and reinforcement learning.
- Data Science: Developing new data science methods and tools for data analysis, visualization, and interpretation.
- Computational Biology: Applying statistical and computational methods to analyze and interpret large-scale biological data.
- Social Network Analysis: Analyzing and modeling social networks using statistical and computational methods.
- Data Visualization: Developing new data visualization methods and tools to help researchers and practitioners better understand complex data.
CSDM also offers various programs and resources for students, including:
- Master's and Ph.D. programs in Statistics and Data Science
- Undergraduate courses and research opportunities
- Summer research programs for high school students and undergraduates
- Workshops and conferences on various topics in statistics and data science
If you're interested in learning more about CSDM or would like to get involved with their research and programs, I recommend checking out their website or reaching out to them directly!