Neo Christopher Chung

Neo Christopher Chung

Modern biotechnologies collect an ever-increasing amount of data about model organisms and humans. To facilitate data-driven discoveries in biology and medicine, I develop and apply statistical and machine learning methods for large-scale experimental and observational studies. Particularly, I have extensive experience in analyzing genomics, proteomics, and clinical data to identify underlying signatures of diseases, molecular pathways, and environmental factors. My methodological research focuses on unsupervised statistical and machine learning, that can identify and utilize systematic patterns of variation.

> Seeking motivated graduate students and co-investigators in computational biology, statistics, machine learning.

Affiliations
Assistant Professor, Institute of Informatics, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw
Visiting Scientist, NIH BD2K Center of Excellence for Biomedical Computing, University of California Los Angeles

Education
UJMT Fogarty Global Health Fellowship [adviser Ben Chi], CIDRZ & University of North Carolina at Chapel Hill
Ph.D./M.A. in Quantitative and Computational Biology [adviser John Storey], Princeton University
B.S.E. in Biomedical Engineering & A.B. minor in Visual Studies, Duke University

Selected Publications
L Brocki, NC Chung (2019). Concept saliency maps to visualize relevant features in deep generative models. 18th IEEE ICMLA (Deep Learning); Jupyter Notebooks
K Gogolewski, M Sykulski, NC Chung, A Gambin (2019). Truncated robust principal component analysis and noise reduction for single cell RNA sequencing data. Journal of Computational Biology; R Software
NC Chung (2018) Statistical significance of cluster membership for determination of cell identities in single cell genomics. bioRxiv doi:10.1101/248633; R Software
J Wang, H Choi, NC Chung, Q Cao, DCM Ng, B Mirza, SB Scruggs, D Wang, AO Garlid, P Ping (2018). Integrated dissection of the cysteine oxidative post-translational modification proteome during cardiac hypertrophy. Journal of Proteome Research; ProteomeXchange Data
HJ Painter, NC Chung, A Sebastian, I Albert, JD Storey, M Llinás (2018). Genome-wide real-time in vivo transcriptional dynamics during Plasmodium falciparum blood-stage development. Nature Communications; PlasmoDB; Figshare Data
NC Chung, C Bolton-Moore, R Chilengi, MP Kasaro, JSA Stringer, BH Chi (2017). Patient engagement in HIV care and treatment in Zambia, 2004–2014. Tropical Medicine & International Health
NC Chung, J Szyda, M Frąszczak, 1000 Bull Genomes Project (2017). Population structure analysis of bull genomes of european and western ancestry Scientific Reports; Consortium Site
NC Chung, JD Storey (2015). Statistical significance of variables driving systematic variation in high-dimensional data. Bioinformatics; R Software
J Kim, N Ghasemzadeh, DJ Eapen, NC Chung, JD Storey, AA Quyyumi, G Gibson (2014). Gene expression profiles associated with acute myocardial infarction and risk of cardiovascular death. Genome Medicine; GEO Data

Google Scholar | GitHub | ncc (at) URL