Nano is a landscape architect, horticulturist and arborist who specialises in the use of procedural modelling and geo spatial data visualisation techniques, to support multidisciplinary design decision making for cities in transition. Nano brings twenty years of design practice experience and knowledge to her current research and teaching role. She combines a rare blend of practical, technical and theoretical knowledge to her research by design, about design and for design. Her research by-design includes, coordinating the construction of a diverse range of award winning multi-scaled landscape projects in both the private and public realm. Her research about design includes historic landscape research of tree-scapes in cities, examining the evolution of street tree-scape design decisions and the shifts in their decision drivers from initially visual concerns to todays’ environmental imperatives. She has also conducted extensive study into the evolution of algorithmic botany technology beginning with the development of L-systems through to the advanced recursive branching, procedural tree modelling and space colonisation algorithms. Her research for design focuses on “actionable research” for evidence-based design. She investigates leading-edge developments in computational landscape and urban design modelling (using geospatial data, computational ecology, species distribution modelling and hydrological catchment delineation), coupled with multi-criteria decision support systems (using environmental modelling, topographic modelling and rapid prototyping).