Our lab combines molecular biology, biochemistry, high-throughput sequencing, quantitative imaging, and computational modeling for systems-level analysis of RNA networks. Emerging engineering tools make quantitative assessment of biological systems not only possible, but necessary. Moreover, recent advances in sequencing techniques provide plethora of data and bring more global picture to the microscopic system. Quantitative tools and mathematical models to interpret massive quantitative high-throughput data is becoming increasingly important in understanding complex biological systems and developing therapeutics for medical applications. We are interested in applying engineering principles to develop testable models that will provide both molecular and systems-level understanding of different regulatory networks that are centered around RNAs.

We are looking for motivated graduate students (M.S. andPh.D.) who share the enthusiasm to understand biological systems. Experiment oriented as well as computational projects are available.We also welcome students from biology who are interested in working side by side with engineers.