Profile Photo of Min Oh

Min Oh

Curriculum Vitae: PDF (Last Update: 3/09/2020)

About Me

I am a 4th-year Ph.D. Candidate in Deptartment of Computer Science at Virginia Tech, advised by Professor Liqing Zhang. My research interests lie in deep learning for human health and biological problems.

During three consecutive summers, I worked for Microsoft as a Research Intern (Microsoft Research, Healthcare Group; 2017 and 2018) and as a Data & Applied Scientist Intern (Microsoft Azure, Networking Group; 2019).

Before came to Virginia Tech, I was a Research Associate in the Data mining & Bioinformatics Laboratory where my advisor was Professor Youngmi Yoon (Mar 2015 - Aug 2016) and I received my bachelor's degree in Computer Engineering (Feb 2015) at Gachon University, South Korea.

News

Summer 2020 Data & Applied Scientist Intern @ Microsoft, Azure Networking Group
Summer 2019 Data & Applied Scientist Intern @ Microsoft, Azure Networking Group
November 2018  Research Grant Awarded ($30,000) @ Virginia Tech, Office of the Executive Vice President and Provost
Summer 2018 Research Intern @ Microsoft Research, Healthcare NExT Group
Summer 2017 Research Intern @ Microsoft Research, Healthcare NExT Group

Publications

First authorship only (see Google Scholar Profile or CV for the complete list of publications)

    Peer-Reviewed Journals
  1. DeepMicro: Deep Representation Learning for Disease Prediction Based on Microbiome Data
    Min Oh and Liqing Zhang
    Scientific Reports 10.1 (2020): 1-9
  2. Effect of Antibiotic Use and Composting on Antibiotic Resistance Gene Abundance and Resistome Risks of Soils Receiving Manure-derived Amendments
    Chaoqi Chen*, Christine Pankow*, Min Oh*, Lenwood Heath, Liqing Zhang, Pang Du, Kang Xia, Amy Pruden
    Environment International 128 (2019): 233-243
    (*Equal contribution)
  3. MetaCompare: A Computational Pipeline for Prioritizing Environmental Resistome Risk
    Min Oh, Amy Pruden, Chaoqi Chen, Lenwood Heath, Kang Xia, Liqing Zhang
    FEMS Microbiology Ecology 94.7 (2018): fiy079
  4. Drug Voyager: A Computational Platform for Exploring Unintended Drug Action
    Min Oh, Jaegyoon Ahn, Taekeon Lee, Giup Jang, Chihyun Park, Youngmi Yoon
    BMC Bioinformatics 18.1 (2017): 131
  5. A Network-based Classification Model for Deriving Novel Drug-Disease Associations and Assessing Their Molecular Actions
    Min Oh, Jaegyoon Ahn, Youngmi Yoon
    Plos One 9.10 (2014): e111668
  6. Drug-Repositioning Based on Distance Features on the PPI Network
    Min Oh and Youngmi Yoon
    Journal of Korean Institute of Information Technology (JKIIT) 11.12 (2013): 205-211

Talks