Hongseok Ko is a Ph.D. candidate in Ecology and Evolutionary Biology (EEB) program at the University of Arizona. He completed his B.S. in Environmental Science and Ecological Engineering (EEE) at Korea University in South Korea. After working as a manager of R & D and planning departments at an international company, Hong became a graduate researcher working in both Ferriere (The director of iGLOBES) lab and Martinez lab. For his research projects, Hong has developed 1) mathematical models for integrating human impact on ecological networks to detect the possibility of achieving sustainability in socio-ecological systems, 2) methodologies to assemble and visualize ecological networks of the Polynesian islands which are including thousands of species, and 3) automated methods to reconstruct biological networks based on empirical data. For many of his projects, Hong has been using classical mathematical models, statistical machine learning methods, and various neural networks algorithms.
- Ph.D. Candidate in Ecology and Evolutionary Biology (EEB), University of Arizona
- B.S. Environmental science and ecological engineering, Korea University, Korea, Republic of
Area(s) of Interest:
- Machine Learning
- Large Scale Visualization
- Data Science Literacy