The Rigor, Reproducibility, and Transparency (RRT) Seminar Series is a series in collaboration with the Fred Hutch Cancer Center presented by faculty from each of the several ongoing training grants at Fred Hutch and UW. Presenters include faculty from training grants at the Fred Hutch and the UW. The series is in response to NIH-mandated RRT training for trainees on training grants, F awards, and K awards. Lectures focus on a detailed discussion of common or emerging methodologies with the aim of describing strengths, limitations, and pitfalls so those employing or interpreting the data gain a realistic sense of what can and cannot be learned.

The February seminar will feature Abhinav Nath, PhD, Associate Professor and Interim Chair, Department of Medicinal Chemistry, University of Washington.

“Estimating Uncertainty in Model Parameters: Case Studies from Single-Molecule Fluorescence and Drug Discovery.”

Model fitting – estimating the parameters of a model that best describe experimental observations – is a powerful and widely-used approach throughout the natural and biomedical sciences. An important consideration is understanding the level of uncertainty in the parameter values obtained by model fitting. In other words, how confident are we in the output of a given model? This seminar will cover different methods of estimating this uncertainty, including various resampling approaches. Problems will be illustrated using examples from biophysics and pharmacology, including the interpretation of single-molecule fluorescence data and protein aggregation assays.

Questions: Please submit any questions you would like to ask prior to the seminar here.

Join Zoom Meeting

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