CV

My CV can be found here.

Education

Ph.D in Biostatistics, University of North Carolina, Chapel Hill, 2022
B.S. in Applied Mathematics, University of California, Los Angeles, 2013
B.S. in Physics, University of California, Los Angeles, 2013

Work experience

2022-current: Principal Statistician
- GlaxoSmithKline
- Projects: Provide statistical support for various research units, including the synthetic lethality, novel human genetics, and bioimaging reseach teams.
- Supervisor: Hoang Tran
2016-2018: Data Analyst Intern
- Syngenta AG
- Projects: Machine learning models for crop yield optimization
- Supervisor: Shengchu Wang
2014-2018: Research Assistant
- UNC, Chapel Hill
- Projects: COPD X-ray image analysis, Microbiome
- Supervisor: Dr. Bahjat Qaqish

Skills

Computing: R, SAS, Python, C++, Linux
Languages: English, Korean

Software

FSCseq

NIMIWAE

dlglm

Publications

Model-based Feature Selection and Clustering of RNA-seq Data for Unsupervised Subtype Discovery

D.K. Lim, N.U. Rashid, J.G. Ibrahim (2020). "Model-based Feature Selection and Clustering of RNA-seq Data for Unsupervised Subtype Discovery" Annals of Applied Statistics.

Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders

D.K. Lim, N.U. Rashid, J.B. Oliva, J.G. Ibrahim (2022). "Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders" arXiv

Deeply-Learned Generalized Linear Models with Missing Data

D.K. Lim, N.U. Rashid, J.B. Oliva, J.G. Ibrahim (2023). "Deeply-Learned Generalized Linear Models with Missing Data" Journal of Computational and Graphical Statistics