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Sam Baugh

Assistant Professor of Statistics


Sam Baugh started as an Assistant Professor of Statistics at Penn State in Fall 2023. Previously, he completed an NSF postdoctoral research fellowship at Lawrence Berkeley National Lab under the supervision of Dr. Mark Risser, and received his Ph.D. in Statistics from Professor Karen McKinnon at UCLA in 2022. He also completed his MS in Statistics and BS in Mathematics at the University of Chicago advised by Professor Michael Stein. His research is motivated by developing statistical methods for understanding the impacts of climate change, including long-term changes in the oceans and atmosphere as well as changes in the probabilities of extreme events. HIs primary methodological areas are in spatio-temporal statistics, Bayesian hierarchical models, and computational approximations. He is also works in Bayesian methods for psychometric modeling problems, and has collaborations in medicine and public health.

Honors and Awards

NSF Mathematical Sciences Postdoctoral Research Fellowship (2022-2023)

UCLA Outstanding Ph.D. Student Award (2022)

UCLA Dissertation Year Fellowship (2021-2022)


Samuel Baugh and Karen McKinnon. Bayesian Quantification of Covariance Matrix Estimation Uncertainty in Optimal Fingerprinting. Under review at Climate Dynamics, (2023).

Kendall Goodyear, Persiana Saffari, Mahtash Esfandiari, Samuel Baugh., Daniel Rootman, & Justin Karlin. Estimating age with AI: Quantifying the Effect of Blepharoplasty. Journal of Plastic, Reconstructive & Aesthetic Surgery. (2023)

Samuel Baugh and Karen McKinnon. Hierarchical Bayesian Modeling of Ocean Heat Content and Its Uncertainty. Annals of Applied Statistics, 16 (4), pp.2603-2625 (2022).

Justin Karlin, Justin Farajzadeh, Ariel Azhdam, Sitara Hirji, Samuel Baugh, Mahtash Esfandiari, Robert Goldberg, and Daniel Rootman. Analysis of eyelid and eyebrow metrics in Iranian American adults. Journal of Plastic, Reconstructive & Aesthetic Surgery, (2022).

Kelsey A. Roelofs, Mahtash Esfandiari, Stefania B. Diniz, Liza M. Cohen, Samuel Baugh, Justin N. Karlin, and Robert A. Goldberg. The Effect of Lighting and Photograph Exposure on Perceived Attractiveness. Ophthalmic Plastic and Reconstructive Surgery, 38 (4), pp.359-363 (2022).

Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger, and Samuel Baugh. Mapping Unobserved Item-Respondent Interactions: A Latent Space Item Response Model with Interaction Map. Psychometrika, 86, pp.378–403 (2021).

Samuel Baugh and Michael L. Stein. Computationally Efficient Spatial Modeling using Recursive Skeletonization Factorizations. Spatial Statistics, 27, pp.18-30 (2018).

Samuel Baugh, Gruia Calinescu, David Rincon-Cruz, and Kan Qiao. Improved Algorithms for Two Energy-Optimal Routing Problems in Ad-Hoc Wireless Networks. Proceedings of IEEE International Conferences on Big Data and Cloud Computing, pp.509-516 (2016).