DALL-E generated image using human lungs, genetics, and machine learning as thematic prompts.

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Biosketch

I am a Duke PROSPER T32 Postdoctoral Fellow in Jichun Xie’s lab (lab website) at Duke University. My general research interests include latent variable models, association mining, manifold and graph learning, statistical methods for common and rare variant analysis, single-cell multi-omics methods, and applications of deep neural networks such as GNNs.

Current Research Focus

I am currently focused on common and rare variant analysis of human genetics data to study Interstitial Lung Diesease (ILD). This research is supported by the Duke PROSPER T32 training grant (program website).

Education

• Ph.D. in Statistics from the University of North Carolina at Chapel Hill
• B.S. in Physics from Clemson University
• B.S. in Mathematical Sciences from Clemson University
• Budapest Semesters in Mathematics

Experience

• Duke PROSPER T32 Postdoctoral Fellow (December 2023 - present)
• Duke Biostatistics Postdoctoral Associate (August 2023 - December 2023)
• Research Internship at Genentech (May 2022 - August 2022)
• UNC Chapel Hill Graduate Research and Teaching Assistant in Statistics (August 2017 - August 2023)

Publications

Google Scholar Profile Page

• Dellon ES, Tsai YS, Coffey AR, Bodwin K, Sninsky JA, Mosso CN, He TM, O’Connor KA, Selitsky SR, Nobel AB, Parker JS. Pre-treatment differential correlation of gene expression and response to topical steroids in eosinophilic esophagitis. Diseases of the Esophagus. 2023 Apr;36(4):doac071.

• Landis JT, Tuck R, Pan Y, Mosso CN, Eason AB, Moorad R, Marron JS, Dittmer DP. Evidence for multiple subpopulations of herpesvirus-latently infected cells. MBio. 2022 Feb 22;13(1):e03473-21.

• Oberheide J, Mlynczak MG, Mosso CN, Schroeder BM, Funke B, Maute A. Impact of tropospheric tides on the nitric oxide 5.3 μm infrared cooling of the low‐latitude thermosphere during solar minimum conditions. Journal of Geophysical Research: Space Physics. 2013 Nov;118(11):7283-93.