Eleanor McDonnell Feit
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(New page: My research focuses on the interface between marketing and engineering design. My goal is to develop quantitative marketing research and design optimization methods that are integrated, so...) |
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- | + | Eleanor McDonnell Feit, aka Elea (pronounced like "Ellie"), is a PhD Candidate in Marketing at the Stephen M. Ross School of Business at the University of Michigan. Her dissertation advisor is [[Fred Feinberg]]. Prior to entering the program at Michigan, she worked at General Motors in the Research & Development Center and the Advanced Vehicle Development Center. | |
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+ | == Research Interests == | ||
+ | Elea's research focuses on the interface between marketing and engineering design. Her goal is to develop quantitative [[market research]] and [[design optimization]] methods that are integrated, so that marketing research informs design decisions and design constraints inform marketing research. Methodologically, her work contributes to research in [[choice modeling]], consumer preference measurement, [[design of experiments]], discrete [[optimization]] methods, [[hierarchical Bayesian]] models and Bayesian approaches to [[latent variable]]s and missing data. Prior to joining the PhD program at Michigan, she spent 8 years working on automotive engineering and marketing problems. | ||
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+ | == Education == | ||
+ | PhD in Marketing, Ross School of Business, University of Michigan, expected May 2009<br /> | ||
+ | MS in Industrial Engineering, concentration in Operations Research, Lehigh University, January 1998<br /> | ||
+ | BA in Mathematics, University of Pennsylvania, May 1994<br /> | ||
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+ | == E-Mail Address == | ||
+ | efeit at umich.edu | ||
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+ | [http://webuser.bus.umich.edu/efeit/ Web Site] |
Current revision
Eleanor McDonnell Feit, aka Elea (pronounced like "Ellie"), is a PhD Candidate in Marketing at the Stephen M. Ross School of Business at the University of Michigan. Her dissertation advisor is Fred Feinberg. Prior to entering the program at Michigan, she worked at General Motors in the Research & Development Center and the Advanced Vehicle Development Center.
Research Interests
Elea's research focuses on the interface between marketing and engineering design. Her goal is to develop quantitative market research and design optimization methods that are integrated, so that marketing research informs design decisions and design constraints inform marketing research. Methodologically, her work contributes to research in choice modeling, consumer preference measurement, design of experiments, discrete optimization methods, hierarchical Bayesian models and Bayesian approaches to latent variables and missing data. Prior to joining the PhD program at Michigan, she spent 8 years working on automotive engineering and marketing problems.
Education
PhD in Marketing, Ross School of Business, University of Michigan, expected May 2009
MS in Industrial Engineering, concentration in Operations Research, Lehigh University, January 1998
BA in Mathematics, University of Pennsylvania, May 1994
E-Mail Address
efeit at umich.edu