Marco Troiani was the laboratory manager of DB Labs from its founding 2015-2016. His responsibilities included developing methods for the detection of terpenes and solvents (GC-MS), metals (ICP-MS), pesticides (GC-MS-MS), and Total Yeast and Mold, Total Aerobic Bacteria, Total Coliform Bacteria, and Salmonella spp. in cannabis and associated products, as well as hiring, training and managing lab employees. Additionally, Mr. Troiani was responsible for writing and maintaining the laboratory QAQC manual, and was responsible for personally signing each certificate of analysis released to a client. Mr. Troiani worked with representatives from the state of Maine to consult regarding the legalization of cannabis in that jurisdiction. Mr. Troiani’s previous experience includes working as a lab technician at Steep Hill under Mr. Sguera, and previously working at the Lokey Research Group in Santa Cruz, CA on synthesizing and assaying for membrane permeability a series of novel peptides derived from natural venoms. Mr Troiani’s work with analytical laboratories includes: developing new methods, validating existing methods, increasing the robustness of quality and client data generated by a laboratory, often to meet accreditation standards. Mr. Troiani’s work with extraction laboratories includes: increasing yields, purity and terpene retention of cannabis concentrates. Work with medical laboratories includes: presenting data generated by peer-reviewed publications on the safety and efficacy of cannabis as a medicine, educating doctors and clinicians on the chemical composition of cannabis, education on analysis performed on cannabis for potency and safety standards, education on the endocannabinoid system and the properties of cannabinoids in the human body. Mr. Troiani has lectured on the science of cannabis in various contexts: American Chemical Society Fall 2016, Pesticide extraction and detection in cannabis; CannMed Conference 2017, Medical benefits of terpenes in cannabis; American Chemical Society Fall 2017, Terpenes in cannabis and statistical variation between strains.