This page is mostly for students and trainees who are interested in working with me on research. However, there is plenty for undergraduates, masters, practitioners, and industry folks to understand about my work here too.
Are we a good research fit?
If you are a prospective Ph.D. student and you’d like to chat about research fit, please email me and mention that you’ve read this section of my website encouraging you to do this. Generally, I look for students interested in developing new ways to diagnose, respond to, and evaluate if we’re making digital technologies safer for at-risk groups. This means, I’ll be looking for students with interest in contributing to the fields of Human-Computer Interaction and Privacy and Security, so skills in quantitive measurement studies (e.g., pipeline creation, scraping, crawlers), alongside qualitative methods and analyses (e.g., interviews, grounded theory) are a must!
Alongside this, I’m looking for excellent students who are passionate about making a meaningful difference in mitigating many of the harms caused by technical design and deployment. I use an interventionist approach in my research, which means my methods are human-centered and action-oriented, and may involve partnering with community or industry to deploy systems/services. I then dedicate time to advocacy using my findings to bring about real-world change, such as in consumer tech and law to bridge the research-to-practice gap. If making technologies safer for all excites you, please get in touch.
Prospective Ph.D students
If you’re interested in working with me, please apply to New York University’s PhD Computer Science program; this is a combined program across Courant and Tandon. In your application, it’s very important you mention my name as a contact (even if we’ve never spoken) in /both/ the submission form and your statement of purpose/essay; this way your application can find its way to me. Emailing me during this time is not a great way to ensure I see your application – I get swamped with emails at the best of time.
The CS faculty and I will assess your application in the general applicant pool, and consider the strength of your recommendation letters, statement of purpose, grades, and how well you align with both my research interests and those of the PhD program.
Should your application be competitive, I might reach out to you for a further conversation during the submissions cycle. Please note that faculty members cannot individually decide on acceptance for either the MS or PhD program.
Good luck!