His current research :

– Computational Cancer Genomics: Using high-throughput sequencing data, we are trying to understand different aspects of Cancer in Human.

– The application of deep-learning techniques in Life-Science: Using state-of-the-art techniques in Big-Data analysis, we are trying to understand and model the behavior of living organisms.

– Metabolic networks constraint-based modeling: As the best-studied biological network, metabolic networks have a wide range of application from biotechnology to medicine. we try to improve in-silico models of metabolism by adding more realistic physical constraints. The ultimate goal could be having an in-silico whole-cell model that can respond to environmental fluctuations.