Transformative Leadership Advisory Member

DR. Anthony Maranto

Active Term: 04/2024 - 04/2025

Areas of Expertise

• Deep and Sustained Employee Engagement
• Individual Leadership​

Chief Growth Officer

Lynker

Dr. Anthony (Tony) Maranto has over 30 years of experience as a researcher, educator, program manager, and business leader. Presently, Dr. Maranto serves as the Chief Growth Officer (CGO) at Lynker Technologies supporting numerous client programs, solution development activities, and business development opportunities across NOAA, NASA, and other federal agencies. He has spent over 12 years as a consultant and program manager for NOAA (NMFS, NOS, NWS, OAR, and NESDIS), NASA (GSFC, ARC, JSC, MSFC, and JPL) and NIH (supporting 18 different institutes across the agency).

He has also spent 12 years as a consultant to the Army Environmental Command where he was extensively involved in numerous technology, compliance, and environmental programs. Dr. Maranto has also supported numerous high level projects for the DOD in the Chemical, Biological, Radiological, and Nuclear defense arena. Prior to his civilian agency and DOD work, Dr. Maranto held academic and administrative posts at several universities and colleges, including the University of Maryland. He also formerly served as the Director of the Maryland Department of Natural Resources' Radioecology Laboratory, the State's primary ecological monitoring facility for regional nuclear power stations.

​During his tenure at the facility he directed all research and monitoring activities; performed analyzes on environmental samples for Chesapeake Bay and Susquehanna River, oversaw daily administrative operations of the laboratory; administered licensing and regulatory compliance; and served as coordinator with a variety of local, state and federal agencies. As a scientist and researcher, Dr. Maranto has published or presented over 50 technical papers and reports on numerous topics including environmental management, strategic planning, carcinogenic risk assessment, radioecology, health physics, data quality control, risk based funding, and neurological receptor modeling.

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