Eddy Huang

3rd Year Ph.D. student, interested in Microbiome Analysis, Metagenomics Database, High Performance Computing, and Deep Learning

Eddy (3rd year PhD student, Computer Science) obtained a B.S. degree with Honors in Computer Science and a minor in Mathematics from North Carolina State University. Before she entered the journey of computer science, she obtained a B.S. degree in Preventive Medicine from the Southwest Medical University in China and spent a year working as a chronic disease analyst at the Center for Disease Control and Prevention in Zigong city. During her study at NCSU, Eddy did research in multi-agent reinforcement learning in social computing. Her primary research interests are in the area of computational biology with a focus on microbial community analysis and applications of deep learning in heterogeneous multi-omics data analysis. Outside the lab, Eddy dedicates her life to rock climbing and she believes the philosophy of solving a climbing puzzle harmonizes with the research activities of a computer scientist.

Eddy is supported by NSF (CCF 2313062) and NSF MIM (EF 2126387).

A few of Eddy’s recent publications: (Dwarshuis et al., 2023; Sapoval et al., 2024).

References

2024

  1. Lightweight taxonomic profiling of long-read sequenced metagenomes with Lemur and Magnet
    Nicolae Sapoval, Yunxi Liu, Kristen Curry, and 8 more authors
    bioRxiv, 2024

2023

  1. The GIAB genomic stratifications resource for human reference genomes
    Nathan Dwarshuis, Divya Kalra, Jennifer McDaniel, and 11 more authors
    bioRxiv, 2023