Marc Paradiso

Mr. Paradiso has worked in the areas of accident reconstruction, vehicle dynamics, consumer product design, and failure analysis since 2006. He specializes in the investigation and reconstruction of on- and off-road motor vehicle accidents. 

Mr. Paradiso has performed investigations of collisions involving passenger cars and trucks, motorcycles, pedestrians, cyclists (including e-bikes), as well as medium- and heavy-duty commercial vehicles including tractor-trailers, straight trucks, transit buses, and construction and farm equipment. He is knowledgeable about Advanced Driver Assistance Systems (ADAS) and has experience in retrieving electronic data from passenger vehicle event data recorders (EDR) and commercial vehicle electronic control modules (ECM). He routinely analyzes and interprets the recovered data as it relates to the subject incident using engineering principles.

Mr. Paradiso has analyzed component failures, machine-related accidents, and product design, performance, and safety claims. He has conducted full-scale vehicle tests including high- and low-speed crash tests to validate reconstructions, understand vehicle and occupant kinematics and dynamics, and characterize vehicle structural performance. He was a leader in the development and fabrication of Exponent's micro-mobility test sled, allowing for repeatable crash testing of consumer products like e-scooters and e-bikes. The test sled was also designed to incorporate an instrumented Anthropomorphic Test Device (ATD) on the micro-mobility product to collect data for use in occupant injury assessment.

Mr. Paradiso's current research focus is on Advanced Driver Assistance Systems (ADAS), and he is an active participant in the SAE Truck and Bus Automation Safety Committee. He has investigated and reconstructed accidents by retrieving and analyzing data stored on both heavy vehicle and passenger vehicle ADAS systems. His understanding of ADAS systems and their limitations, combined with his background in accident reconstruction, create the knowledge and expertise to address the efficacy of these systems in failure-to-equip claims, and whether the circumstances of a specific incident were within the design performance of the system.

Mr. Paradiso makes use of advanced technology such as drones, three-dimensional laser scanners, and portable handheld LiDAR scanners for the purposes of documenting evidence, reconstructing vehicle collisions, and creating accurate and informative demonstratives. He is proficient in the use of photogrammetric techniques, reconstruction simulation software (HVE and PC-Crash), and numerical analyses to objectively evaluate evidence and reconstruct a crash or incident.

Prior to joining Exponent, Mr. Paradiso worked for an engineering firm designing and analyzing structures and equipment used in the entertainment and theatrical performance industry. He later moved into consumer product design and worked for a manufacturer of child strollers where he performed design, development, and testing work to ensure product compliance with both internal and regulatory standards. His last role before joining Exponent was as a vehicle dynamicist and performance and simulation engineer supporting vehicle manufacturers and teams in the INDYCAR series. In this role, he was responsible for creating multibody vehicle models, running vehicle lap time simulations, performing component lap time impact studies, and conducting real-time data analysis from the pit lane during practice sessions and races.