Tomo Lazovich is a senior research scientist at the Institute for Experiential AI at Northeastern University. They were a senior machine learning researcher at Twitter, developing a suite of metrics to measure inequality in outcomes for the Machine Learning, Ethics, Transparency, and Accountability team. Lazovich worked as Machine Learning (ML) team lead at Lightmatter, adapting algorithms to the computer hardware startup’s novel photonics-based hybrid digital-analog architecture, and at nonprofit engineering company Draper, building deep learning architectures for the identification and repair of bugs in source code as part of the DARPA-funded Mining and Understanding Software Enclaves program. Lazovich holds a Ph.D. in physics from Harvard University, where their thesis was based on the discovery and subsequent study of the Higgs Boson particle at the Large Hadron Collider in Switzerland. In addition, they are also currently a part-time J.D. candidate at Northeastern University, hoping to fuse their technical knowledge with legal expertise to build practical regulatory solutions for AI.