PhD in Applied Computer Science, Pennsylvania State University
My research focuses in two areas. First, I’m interested in the statistic and computational data analysis of High-Throughput and High-Content assays which include RNAi, biochemical, fixed and live cell-based fluorescence as well as whole organism assays. The second area is the application of statistics and machine-learning methodologies to characterize cellular/organism heterogeneity and exploring the relationships between cellular/organism heterogeneity, compound/drug mechanism(s) of action and cell signaling pathways.
- Gosai SJ, Kwak JH, Luke CJ, Long OS, King DE, Kovatch KJ, Johnston PA, Shun TY, Lazo JS, Perlmutter DH, Silverman GA, Pak SC. Automated high-content live animal drug screening using C. elegans expressing the aggregation prone serpin α1-antitrypsin Z. PLoS One. 2010 Nov 12;5(11):e15460. PubMed PMID: 21103396; PubMed Central PMCID: PMC2980495.
- Shun TY, Lazo JS, Sharlow ER, Johnston PA. Identifying actives from HTS data sets: practical approaches for the selection of an appropriate HTS data-processing method and quality control review. J Biomol Screen. 2011 Jan;16(1):1-14. PubMed PMID: 21160066.
- Kitchens CA, McDonald PR, Shun TY, Pollack IF, Lazo JS. Identification of chemosensitivity nodes for vinblastine through small interfering RNA high-throughput screens. J Pharmacol Exp Ther. 2011 Dec;339(3):851-8. PubMed PMID: 21880871; PubMed Central PMCID: PMC3226368.
- Gough AH, Chen N, Shun TY, Lezon TR, Boltz RC, Reese CE, Wagner J, Vernetti LA, Grandis JR, Lee AV, Stern AM, Schurdak ME, Taylor DL. Identifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discovery. PLoS One. 2014;9(7):e102678. PubMed PMID: 25036749; PubMed Central PMCID: PMC4103836.
- Gough A, Shun TY, Lansing Taylor D, Schurdak M. A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens. Methods. 2016 Mar 1;96:12-26. PubMed PMID: 26476369.