Michael Pearce

Congratulations to @pearce790 for winning the 2024 Distinguished Dissertation Award! theclassificationsociety.org/the-2023-disti…

Congratulations to Dr. Michael Pearce, Statistics and CSSS alum, who is the winner of the 2024 Distinguished Dissertation Award from the Classification Society! See details here: bit.ly/3Jy27qS @pearce790

Job alert! We're hiring for a *third* tenure-track statistician at @Reed_College_, to start Fall 2024. Review of applications begins September 29. Please share with anyone who might be interested! mathjobs.org/jobs/list/22674

@shivenbh @Reed_College_ Thank you, @shivenbh!

I'm very excited to share that I've accepted a tenure track position as an Assistant Professor of Statistics at @Reed_College_ starting Fall 2023! Thanks to all who helped me get here. I can't wait to join this growing stats group, and to be staying in the Pacific Northwest!

@AndrewBarnas R makes it so easy, too! I learned too recently that you can run: citation("[Package Name]") to get a written citation and a BibTeX.

By the way, Reed is hiring a visiting faculty statistician for next year. Please share to anyone who might be interested! mathjobs.org/jobs/list/22006

This is joint work with @sgalloster (@AIBSbiology), Carole J. Lee (@UWPhilosophy) and Elena A. Erosheva (@UWCSSS, @UWStat, @uwsocialwork) (3/3)

Main idea: For (more) accurate #PeerReview assessments, have reviewers score, then rank funding proposals. Our model combines the data into interpretable "integrated scores", which sensibly break ties and allow funders to make decisions with uncertainty. (2/3)

New preprint! "A new approach to peer review assessments: Score, then rank" (1/3) researchsquare.com/article/rs-219…

Join us for a virtual conversation and Q&A with current Statistics Ph.D. students from the Departments of Statistics at UW, UC Berkeley, and UMich Ann Arbor on Thu., Nov. 3, 2022 at 5:00PM (PST). See details here: bit.ly/3SIAzkR

Excited to see your talk, Jerzy! For all interested, come to the session Elena Erosheva and I organized, "Using Ranking Data for Decision-Making" at 2pm today in CC-143A #JSM2022

To try out the Mallows-Binomial model for yourself, check out our R package “rankrate” on CRAN. Thanks for reading! (8/8)

In our paper, we apply the model to real #peerreview data and show how it efficiently combines information from rankings and scores. We think the model can help make better decisions and understand the inherent uncertainty in them (7/n)

Just in time for #JSM2022, our new paper has been published in the Journal of Machine Learning Research! jmlr.org/papers/v23/21-… Elena A. Erosheva and I propose the first joint statistical model for rankings and scores (1/n)