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MATHTALK  April 2023

MATHTALK April 2023

Subject:

Statistics and Data Science seminar

From:

"Sgouralis, Ioannis" <[log in to unmask]>

Reply-To:

Sgouralis, Ioannis

Date:

Sun, 23 Apr 2023 23:29:18 +0000

Content-Type:

multipart/signed

Parts/Attachments:

Parts/Attachments

text/plain (35 lines) , smime.p7s (35 lines)

Hello everyone,

I want to let you know that tomorrow, Monday, April 24, we will have another Statistics and Data Science seminar. This time Kelechi Akwataghibe, UTK Math, will be speaking about NMR data analysis. The title and abstract are listed bellow.

The seminar is scheduled for 10:20am in Ayres G013.

Best,
Ioannis



Title: A Bayesian non-parametric model for NMR spectra

Abstract: Characterizing specific peaks in NMR spectra is a critical but challenging step in investigating complex biomolecular systems. Challenges arise because peak identification usually occurs before characterization, and it is difficult to identify peaks due to noise and overlap with nearby peaks. Therefore, experts' opinion are often relied upon to identify peaks and conduct parameter fitting. In this talk, I will explain how we can use Bayesian nonparametric statistics to solve the model selection problem and develop a comprehensive mathematical framework for automatic peak identification and characterization in raw NMR spectra.



—
Ioannis Sgouralis, Ph.D.

Assistant Professor
Department of Mathematics
University of Tennessee, Knoxville
e-mail: [log in to unmask]
web: https://www.math.utk.edu/info/labs/sgouralis
zoom: tennessee.zoom.us/my/sgouralis
twitter: @SgouralResearch
textbook: Data modeling for the sciences, Cambridge University Press


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