My research interest is in human-centered research in technology innovation for increasing usability and building user’s trust by algorithmic fairness and preventing privacy violations. My research is a combination of qualitative and quantitative methods to tackle arising security and privacy risks in distributed and ubiquitous applications. I am delving more towards hybrid research models, transformative technology, such as Machine Learning in user research to perform tasks involving more technical risk. I am interested in risk assessment in software security, blockchain technology, De-Fi, Cloud/AI Technology.
News and Updates
Incoming Privacy Engineer Summer (2021) Intern @ Google
Accepted to Google’s CS Research Mentorship Program-Class of 2021
Accepted into HackIllinois' Open Source Fellowship Program 2021
Selected to serve as Secretary for ACM-W UIUC chapter for Spring 2021
Selected to participate in CRA-WP Grad Cohort for Women 2021