ABOUT ME

I'm a researcher and software engineer at the Software & Application Innovation Lab at Boston University where I design, develop, and deploy software systems and platforms that deliver cryptographic capabilities for real-world applications. Previously, I worked at MIT Lincoln Laboratory in the Secure, Resilient Systems and Technologies Group as well as the Humanitarian Assistance and Disaster Relief Systems Group. I graduated from Tufts University where I studied computer science and development economics.

PUBLICATIONS

Accessible Privacy-Preserving Web-Based Data Analysis for Assessing and Addressing Economic Inequalities.
Andrei Lapets, Frederick Jansen, Kinan Dak Albab, Rawane Issa, Lucy Qin, Mayank Varia, and Azer Bestavros.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies. Menlo Park and San Jose, CA, USA. June 2018.


Callisto: A Cryptographic Approach to Detecting Serial Perpetrators of Sexual Misconduct.
Anjana Rajan, Lucy Qin, David W. Archer, Dan Boneh, Tancrède Lepoint, Mayank Varia.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies. Menlo Park and San Jose, CA, USA. June 2018.


Standardizing Automated DNA Assembly: Best Practices, Metrics, and Protocols Using Robots
David I. Walsh, III, Marilene Pavan, Luis Ortiz, Scott Wick, Johanna Bobrow, Nicholas J. Guido, Sarah Leinicke, Dany Fu, Shreya Pandit, Lucy Qin, Peter A. Carr., Douglas Densmore
SLAS Technology: Translating Life Sciences Innovation. February 2019.


From Usability to Secure Computing and Back Again.
Lucy Qin, Peter Flockhart, Andrei Lapets, Frederick Jansen, Kinan Bab, Mayank Varia, Shannon Roberts, Ira Globus-Harris.
Under Review.

TALKS

Development and Real-World Deployment of Usable, Web-Based MPC Applications.
Theory and Practice of Multi-Party Computation. Tel Aviv, Israel. June 2019.
Invited Speaker. Upcoming.

Deploying MPC for Social Good.
Real World Crypto. San Jose, CA. January 2019.

Privacy-Preserving Data Analysis for Social Impact.
Grace Hopper Celebration. Houston, TX. September 2018.

Software Tools for Next-Gen Genetic Design.
MIT-Broad Foundry. Cambridge, MA. August 2018.

Callisto: A Cryptographic Approach to Detecting Serial Perpetrators of Sexual Misconduct.
ACM Conference on Computing and Sustainable Societies. Menlo Park, CA. July 2018.

OPEN-SOURCE LIBRARIES

Constellation
JavaScript library for combinatorially specifying, constraining, and exploring genetic design spaces.

OPRF
Implementation of an oblivious pseudorandom function over an elliptic curve.

Umbral
Encryption and decryption functions supporting Callisto (non-profit)'s cryptographic design.

OTHER

Publicity Chair
IEEE Secure Development Conference. 2018 & 2019.

Review Committee, Security & Privacy Track
Grace Hopper Celebration. 2019.