Jonathan Kim

PhD Student and Research Assistant

Division of Biostatistics, University of Minnesota

About Me

I am a fifth year Biostatistics PhD student at the University of Minnesota.

I grew up in Plano, Texas and attended the University of Oklahoma for my undergraduate degrees in economics and mathematics.

My research interests include methods for analyzing high-dimensional "omics" data, statistical learning, and Bayesian inference. I am currently involved with TRACK-FA, a study on Friedreich's ataxia. I have also worked on cardiovascular epidemiology projects involving the Atherosclerosis Risk in Communities (ARIC) study.

In 2021, I interned with Medtronic, where I curated a digital library of articles and R/SAS tutorials on methods including missing data, competing risks, and propensity score matching.

Education

Ph.D. Biostatistics, University of Minnesota, December 2023 (expected)

B.S. in Mathematics, University of Oklahoma, 2018

B.A., Economics, University of Oklahoma, 2018

Publications

  • Kim J, Wang W, Norby FL, Zhang M, Alonso A, Lutsey PL, Soliman EZ, Wolfson J, Chen LY, "Diurnal Circadian Variations in Paroxysmal Atrial Fibrillation: the Atherosclerosis Risk in Communities (ARIC) Study," Journal of Electrocardiology, 2020. PMID: 33171399

  • Sandri BJ, Kim J, Lubach GR, Lock EF, Guerrero C, Higgins LA, Markowski TW, Kling PJ, Georgieff MK, Coe CL, Rao RB, “Multiomic Profiling of Iron Deficient Infant Monkeys Reveals Alterations in Neurologically Important Biochemicals in Serum and CSF Prior to the Onset of Anemia,” Am J Physiol Regul Integr Comp Physiol , 2022. doi: 10.1152/ajpregu.00235.2021

  • Kim J, Sandri BJ, Rao RB, Lock EF, "Bayesian Predictive Modeling of Multi-source Multi-way Data", Forthcoming, arXiv preprint: https://arxiv.org/abs/2208.03396

Conference Presentations

  • American Heart Association Scientific Sessions (2019): “Diurnal Variation Detected in Paroxysmal Atrial Fibrillation,” Poster Presentation.

  • American Society of Mass Spectrometry Annual Conference (2022): "Bayesian Predictive Modeling from Multiomic Multiway Data Applied to the Classification of Iron Deficiency in Infant Monkeys," Oral Presentation.

  • Joint Statistical Meetings (2022): "Bayesian Predictive Modeling of Multi-source Multi-way Data," Poster Presentation.

Other Activities

  • I served on the 2021-2022 Minneapolis Redistricting Group, which redrew the boundaries of the city's Park Board districts and City Council wards. More information on my redistricting page.

  • In July of 2022 I was appointed by the mayor and city council of Minneapolis to the city's Housing and Rent Stabilization Working Group, for the purpose of working with various city stakeholders to perform a full fiscal analysis on the possible impact of rent stabilization and creating a report with policy recommendations.

My CV/Resume (PDF), current as of July 2022

My Advisor: Eric F. Lock