Main applications include: multiplexed bio-sensing in bacteria, cell fate (re)programming including control of chromatin state through novel genetic circuits, and designing artificial cell fate differentiation circuits in mammalian cells.
Research Experience
Research areas cover context-aware design of genetic circuits, modular learning to understand interactions among genetic circuits, feedback control to mitigate endogenous silencing in cell fate (re)programming, and engineering analog cellular memory in mammalian cells.
Background
Research interests include model-based analysis, design, and control of biomolecular circuits in bacterial and mammalian cells; with a particular focus on context-aware strategies for designing genetic circuits such that a desired behavior is conserved across different genetic and cellular contexts.