简介:
Qing worked as a postdoc at Syracuse University School of Information Studies and at Northeastern University Network Science Institute, after completing his PhD in Informatics at Indiana University in 2018. He is an assistant professor at SDSC of City University of Hong Kong.
Qing Ke is looking for RA/PhD students to work on projects related to machine learning for the modeling of chemical space, biomedical knowledge graph, etc. Students who have a background in biology/chemistry/physics are welcome to get in touch through q.ke@cityu.edu.hk.