Mohammad Javad Amiri's research aims to bridge large-scale data management and distributed fault-tolerant systems in untrustworthy environments. The goal of his work is to build a complete ecosystem that efficiently manages large-scale data in distributed, untrusted environments. To realize this vision, his research has focused on three main directions and associated daunting challenges as follows. First, designing database-enabled techniques to address performance and scalability requirements of managing large-scale data in untrusted environments (e.g., blockchains). Second, leveraging privacy and cryptography techniques to support confidentiality and verifiability in the context of cooperative data management. Third, addressing the requirement of large-scale systems in all infrastructure, transaction management, and consensus layers by relying on resource desegregation and machine learning approaches.