- 2018: Postdoctoral Fellowship in Biostatistics, MD Anderson Cancer Center (Houston, TX)
- 2015: PhD in Chemical Engineering, Massachusetts Institute of Technology (Cambridge, MA)
- 2009: BS in Chemical Engineering, Purdue University (West Lafayette, IN)
My research involves the development of bioinformatic tools to help pharmacists, health professionals and the public better understand complex genomics data, from data processing and analysis pipelines to dashboards for easy visualization. I am also mining and analyzing large metabolomics databases to better understand drug treatment and response mechanisms.
I am also a frequent collaborator with scientists at Butler University and around the country. My contributions have included the processing, analysis, and visualization of different types of 'omics data. Research projects have included the profiling of 'omics data in leukemia, to understand disease progression and treatment response; analysis of gene splicing and polyadenylation patterns to identify treatment mechanisms in pancreatic cancer; and epidemiological analysis to understand why some breast cancer patients do not receive chemotherapy after it is recommended by their doctor.
Full publication list can be found at Google Scholar
- Class CA, Ha MJ, Baladandayuthapani V, Do K-A (2018). “iDINGO–Integrative Differential Network Analysis in Genomics with Shiny Application.” Bioinformatics 34(7): 1243-1245.
- Montalban-Bravo G, Class CA, Ganan-Gomez I, Kanagal-Shamana R, Sasaki K, Richard-Carpentier G, Naqvi K, Wei Y, Yang H, Soltysiak KA, Chien K, Bueso-Ramos C, Do K-A, Kantarjian H, Garcia-Manero G (2020). “Transcriptomic analysis implicates necroptosis in disease progression and prognosis in myelodysplastic syndromes.” Leukemia 34(3): 872-881.
- Thomas PS, Class CA, Gandhi TR, Bambhroliya A, Do K-A, Brewster AM (2019). “Demographic, clinical, and geographical factors associated with lack of receipt of recommended chemotherapy in women with breast cancer in Texas.” Cancer Causes Control 30(4): 409-415.