Dr. Bhattacharjee specializes in developing probabilistic risk assessment methods and mitigation approaches for complex regional infrastructure networks subject to uncertain hazards. She has worked on seismic, wind, environmental contamination, lightning, and multi-hazard analyses for roads, electric utilities, and underground pipelines. Dr. Bhattacharjee's expertise includes disaster risk management, uncertainty quantification, statistical analysis, machine learning, and qualitative research methods. She has also worked on projects assessing the cause of damage or collapse of structures following flooding, corrosion and deterioration, and impact. Prior to joining Exponent, Dr. Bhattacharjee was a research assistant at Stanford University, where she developed network performance-based methods for assessing and mitigating the seismic risk of regional road networks. Her work in that area included using global sensitivity analysis to prioritize bridge retrofits and developing surrogate models to reduce the computational burden of traffic simulation in the context of probabilistic risk assessment. She also contributed to refinements in the metrics with which postearthquake road network disruptions are characterized. While at Stanford, Dr. Bhattacharjee also lead a research project that aimed to inform the design of post-earthquake building damage information products by studying how earthquake responders make use of such information following a damaging earthquake. Dr. Bhattacharjee’s ongoing research efforts include developing refinements to post-earthquake traffic demand modeling that incorporate the effects of business interruptions caused by building damage, developing models that quantify the risk posed by atmospheric pollution to components of electric power networks, and studying factors that affect the success of artist-in-residence programs at scientific and technical organizations.