I am a Ph.D. Candidate in the Bioinformatics program at Temple University. I am advised by Dr. Sergei L Kosakovsky Pond in the ACME Computational Molecular Evolution Group. I received my B.S. in Chemistry and M.S. in Computational Biology from Carnegie Mellon University. My research interests include method development and evolutionary genomics.
(Last updated: February 25th, 2024)
Automated cutting-edge methods and analyzed COVID-19 metagenomics data in the Google Cloud environment.
Investigated RNA-Seq and microarray data from B-Cell Acute Lymphoblastic Leukemia subtypes using differential gene expression analysis, Gene Ontology enrichment analysis, and other relevant bioinformatics methods.
Investigated clinical and genomic data to create a pipeline of cancer progression analysis using machine learning methods.
Kim, H. (2023). Running a summer journal club for an interdisciplinary community: how to maintain engagement when members have disparate prior knowledge. The Journal for Research and Practice in College Teaching, 8(2). https://journals.uc.edu/index.php/jrpct/article/view/8150/6710.
Huzar, J., Kim, H., Kumar, S., Miura, S. (2022). MOCA for integrated analysis of gene expression and genetic variation in single cells. Frontiers in Genetics, 13:831040. doi: 10.3389/fgene.2022.831040
Ding, Y., Kim, H., Madden, K., Loftus, J., Chen, G., Allen, D., Zhang, R., Xu, J., Chen, C., Xu, Y., Tasian, S., Tan, K. (2021). Network Analysis Reveals Synergistic Genetic Dependencies for Rational Combination Therapy in Philadelphia Chromosome-like Acute Lymphoblastic Leukemia. Clinical Cancer Research, 27(18). doi: 10.1158/1078-0432.CCR-21-0553
Tao, Y., Rajaraman, A., Cui, X., Cui, Z., Chen, H., Zhao, Y., Eaton, J., Kim, H., Ma, J., Schwartz, R. (2021). Assessing the Contribution of Tumor Mutational Phenotypes to Cancer Progression Risk. PLOS Computational Biology, 17(3). doi: 10.1371/journal.pcbi.1008777
Lin, C., Jain, S., Kim, H., Bar-Joseph, Z. (2017). Using neural networks for reducing the dimensions of single-cell RNA-Seq data. Nucleic Acids Research, 45(17). doi: 10.1093/nar/gkx681