èßäÊÓƵapp

The O’Donnell Institute serves as the activity hub for èßäÊÓƵapp Data Science Cluster.  Ã¨ßäÊÓƵapp has already devoted considerable resources to data science and has substantial strength in both its tools and applications. On the curricular side èßäÊÓƵapp offers a suite of masters’ degrees including online MS in Data Science, MS in Computer Science/Artificial Intelligence, MS in Network Engineering, MS in Datacenter Systems Engineering, MS in Business Analytics, MS in Applied Economics and Predictive Analytics, MS in Applied Statistics and Data Analytics, in addition to the long-standing MS in Operations Research.  To these èßäÊÓƵapp has added a BS in Data Science and a PhD in Data Science to be housed in a newly formed Department of Statistics and Data Science (SDS).

The faculty supporting the Data Science Cluster are housed across different academic departments at èßäÊÓƵapp. The cluster faculty will augment and broaden èßäÊÓƵapp’s core capabilities in statistical techniques, data science, data mining. data analytics using AI/ML, and scientific computation.  Each of the faculty hired into this cluster is expected to contribute to data science at èßäÊÓƵapp through teaching data science courses and collaboration in grant applications, with faculty across èßäÊÓƵapp and the O’Donnell Institute.

Following is the list of Data Science Cluster Faculty:

• Marcin Jurek, Statistics and Data Science
  
• Steven Chiou, Statistics and Data Science
  
• Mehak Gupta, Computer Science
  
• Mohamad Faradonbeh, Mathematics
  
• Difeng Cai, Mathematics
  
• Annika Wylie, Biology
  
• Jane (Xue) Tan, Information Technology & Operations Management
• Savannah Tang, Information Technology & Operations Management
• Jiun-Yu Wu, Teaching and Learning (joint with TEIL Cluster)