Mentor Areas
The central theme of research in my laboratory is the rational design of new methods and catalysts for use in organic synthesis. As well as using traditional screening and development approaches, we employ several novel computational tools for the discovery and optimization of new reagents and catalysts. These new synthetic methods comprise the key steps in our total synthesis strategies to a variety of important pharmaceutical agents and natural products.
Description:
Electronic structure and quantitative structure activity relationship calculations are undertaken on organic and organometallic reaction methods.The results establish mechanistic pathways and the determinants for selectivity. This information in turn is used to predict the outcomes of modified systems with the aim of improving yield, selectivity, or scope.
Preferred Qualifications
Completion of Chem 241, Chem 242, Statistics Class, and a familiarity with multivariate multiple regression a plus.
Student will be required to: identify new parameters for fitting reaction data (rate, selectivity, etc.) to catalyst structure; design new catalysts based on model predictions; and understand statistical models by exploring fundamental reaction steps computationally with Gaussian.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Academic Term
Fall, Spring, Summer
I prefer to have students start during the above term(s).Volunteer
Yes
Yes indicates that faculty are open to volunteers.Paid
No
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
No
Yes indicates that faculty are open to hiring work-study-eligible students.