San Cannon
Research Professor at Simon Business School
Schools
- Simon Business School
Links
Biography
Simon Business School
Sandra “San” Cannon is a Research Professor in the Goergen Institute of Data Science at the University of Rochester. Her research focuses on data organization and dissemination, research support processes, data quality metrics and implications, and applications of data science techniques.
She is also the first Associate Vice Provost for Data Governance and Chief Data Officer at the University. She is responsible for the enterprise-wide data and information strategy, governance, control, policy development and effective use. Prior to joining the University, San worked in data management and analytics in the Federal Reserve System for more than 20 years and teaches data science courses in the Helzberg School of Management at Rockhurst University. She is active in the international data community and has presented and published on topics such as sentiment analysis, metadata and classification standards, and data management and dissemination challenges. She holds a Bachelor of Arts in economics from the University of California, Irvine, a Master of Science in economics from the London School of Economics, and a PhD in economics from the University of Wisconsin-Madison.
ACADEMIC POSITIONS
- Associate Vice Provost for Data Governance and Chief Data Officer, University of
- Rochester, 2018 – current
- Research Professor, Goergen Institute for Data Science, University of Rochester, 2019 –
- current
- Adjunct Instructor of Data Science, Helzberg School of Management, Rockhurst
- University, 2015 - 2019
TEACHING EXPERIENCE
- Rockhurst University, College of Business, Influence, and Information Analytics, Kansas City,
- MO
- Adjunct Instructor, Sept 2015 to May 2019
- Developed and taught Master level courses using R in Applied Data Mining and Time
- Series and Forecasting.
- Developed and taught Master level course using Python in Text Mining.
EDUCATION
PhD University of Wisconsin - Madison, Economics May 1996 Minors: Econometrics, Computer Science Dissertation: “Empirical Studies of Wage Dynamics” Advisor: Steve Durlauf MSc London School of Economics, Economics May 1988 Emphasis: Monetary Economics, Macroeconomics BS University of California - Irvine, Economics June 1987 Graduated Cum Laude with Honors in Economics
PUBLICATIONS
Journal Publications Cannon, S., & Mustré-del-Río, J. (2017). Dissecting Wage Dispersion. Economic Review, 102(3).
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