Jing Tang

Jing Tang is an Assistant Professor at the Department of Biochemistry and Developmental Biology within the Faculty of Medicine at the University of Helsinki. She also holds a Docentship in Biometry and serves as a Supervisor in Doctoral Programmes for Computer Science, Biomedicine, and Integrative Life Science.

• Education: PhD in Statistics (University of Helsinki, 2016), Docentship in Biometry (2016)
• Key Research Areas: Network pharmacology for precision medicine, mathematical modeling of drug synergy, systems-level cancer pathway inhibition, computational drug discovery, and biomedical informatics

Article Trends: Recent publications focus on network-driven drug response prediction in acute myeloid leukemia, causal inference for essential gene analysis, graph neural networks in drug-target interaction modeling, and seasonal brain-adipose tissue interactions via μ-opioid receptor imaging. Tools developed include SynergyFinder+ and DrugComb platforms.

• Awards: Academy of Finland Research Fellow (2018), Helsinki Challenge Award (2017), HiLIFE Research Fellow (2017)
• Supervision: Leads the Tang Lab team, mentoring PhD researchers in method development and software engineering for cancer drug discovery