Masoumeh’s current research at the Vector Institute is on privacy techniques, concerns, and limitations in machine learning. She is currently looking into applications in finance and health sectors, for successful design and deployment of privacy protecting techniques in industry. Throughout her career, Masoumeh has worked on a variety of topics in security, privacy, and cryptography in academia and industry, resulting in publications in both cryptography and data science venues. She received her PhD from the University of Waterloo in 2021, on data protection in big data analysis. During the program, she conducted internships at National Research Council of Canada (NRC), and Microsoft Research (MSR), working on “designing a secure mechanism to perform join operation over encrypted data”, and on “privacy techniques (differential privacy) for correlated data in social graphs” correspondingly. After her PhD, Masoumeh was a senior cryptography consultant at Royal Bank of Canada, where she provided guidance for post-quantum cryptography migration for the organization.