Principal Software Engineer, Mar 2018 – present
Machine learning and data science lead.
U.S. Digital Service
Engineering Lead, vets.gov, Sep 2017-Feb 2018
Software Engineer, May 2016 – Aug 2016, Feb 2017 – Aug 2017
Developer, data scientist, and engineering lead for various projects: immigrant visa status check, health and nutrition benefit application, Veteran-facing services (blog post). Front-end developer for vets.gov, an open-source digital platform delivering critical services to the Veteran community (repo). (React/Redux, Rails)
Software Developer / Independent Contractor, Dec 2016 – Feb 2017
Data analysis and pipeline for trending forum posts. (Python, Apache Spark, Google Cloud Dataproc)
Senior Software Engineer, Accessibility, Feb 2016 – Oct 2016
Android Developer for Google Accessibility Scanner, an Android application for developers, testers, product managers, and users to analyze Android apps for accessibility issues.
Technology Lead, Jun 2014 – Jan 2016
Technical advisor to Google.org’s philanthropic projects in areas of human rights, health care, cold chain supply, assistive technologies.
Senior Software Engineer, Crisis Response Team, Jan 2011 – Jun 2014
Senior Software Engineer, Text Detection and Optical Character Recognition, Mar 2007 – Jan 2011
Machine learning and computer vision software development for 1) multi-language text detection from natural imagery, and 2) optical character recognition from scanned documents. Contributed to large-scale privacy protection for Google Streetview imagery via license plate detection. Contributed to Arabic and Indic language optical character recognition for the Tesseract OCR engine.
Lawrence Berkeley National Laboratory, Computational Research Division
Postdoctoral Researcher, Jan 2004 – Mar 2007
Statistical learning and data mining of scientific data; implemented supervised and unsupervised learning algorithms for identifying supernovae in astronomical imagery, detecting tropical cyclones in high-resolution spatiotemporal climate simulations, and distinguishing radiation-induced features in multispectral microscopy imagery.
Consultant, Aug 2002 – Oct 2003
Lead developer and product manager for custom web-based database tools for nonprofit organizations. (Java, ASP.NET)
MIT Artificial Intelligence Laboratory
Research Assistant, Computer Vision Group, Sep 1996 – May 2002
Developed a novel projective model to constrain matching image points in multiple 2D views of a 3D scene. Designed and implemented nonlinear algorithms to demonstrate accurate estimation of 3D camera poses from sparse correspondences. Collaborative research in statistical video analysis, camera self-calibration, and recovery of 3D structure and motion.
Advisors: Eric Grimson and Olivier Faugera
Research Assistant, Center for Biological & Computational Learning, Jan 1994 – Aug 1996
Built a real-time face verification system to authenticate users by matching image-based features from captured face images to a library of known face images.
Advisor: Tomaso Poggio
INRIA: French National Institute for Research in Computer Science
Research Assistant, ROBOTVIS Group, Jun 1999
Developed continuous, differential models of 3-view projective constraints on matching image points.
Advisor: Olivier Faugeras
IBM T.J. Watson Research Center
Summer Intern, Jun 1996 – Aug 1996
Designed a method to merge fingerprint recognition models with image-based face models using subspace projections to reduce feature space dimensionality. Demonstrated improved person identification using multiple biometric measurements.
Advisor: Ruud Bolle
AT&T Bell Laboratories
Research Assistant, Jun 1993 – Aug 1993
Analyzed search space and convergence properties of random, greedy algorithms for solving NP-complete problems.
Advisors: Henry Kautz and Bart Selman
Massachusetts Institute of Technology, Cambridge, MA
Doctor of Philosophy in Computer Science, June 2002
Ph.D. Thesis: Projective Minimal Analysis of Camera Geometry. AT&T Laboratories Fellow.
Massachusetts Institute of Technology, Cambridge, MA
Master of Science in Computer Science, August 1995
M.S. Thesis: Real-Time Face Verification
Harvard University, Cambridge, MA
Bachelor of Arts in Mathematics, June 1992
Cum Laude General Studies. Radcliffe College National Scholar. National Merit Scholar. Study Abroad: Budapest Semesters in Mathematics, Budapest, Hungary.
Stories from the Trenches of Government Technology, LISA, 2017.
Technology During Natural Disasters, Women Techmakers Summit, 2014.
How Can Crisis Maps Meet Information Needs of Affected People? Lightning Talk, International Conference on Crisis Mapping (ICCM), 2013.
Pursuing Professional Changes (with Alice Bonhomme-Biais), Special Issue on Gender Diversity in Computing, IEEE Computer Magazine, v. 46, no. 3, March 2013.
Selected speaking engagements: OpenAir 2015, Latin@s in Tech 2015 Summit, CRA-W Graduate Cohort Workshop (2010-2012), Grace Hopper Celebration for Women in Computing, Richard Tapia Celebration of Diversity in Computing.
“Supernova Recognition using Support Vector Machines,” R. Romano, C. Aragon, and C. Ding, International Conference of Machine Learning Applications , December 14-16, 2006.
“Towards Direct Simulation of Future Tropical Cyclone Statistics in a High Resolution Global Atmospheric Model,” Michael F. Wehner, G. Bala, Phillip Duffy, Arthur A. Mirin, and Raquel Romano, Advances in Meteorology, vol. 2010, Article ID 915303, 13 pages, 2010. doi:10.1155/2010/915303
“Imaging features that discriminate between high and low LET radiation-induced foci in human fibroblasts,” Costes, S. V., A. Boissière, S. Ravani, R. Romano, B. Parvin and M. H. Barcellos-Hoff., Radiat Res,165 (5): 505-515, May 2006.
“Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame,” L. Lee, R. Romano, and G. Stein, IEEE Transactions on Pattern Recognition and Machine Intelligence, Special Section on Video Surveillance and Monitoring , Vol. 22, No. 8, August 2000.
“Forest of sensors: Using adaptive tracking to classify and monitor activities in a site,” W. E. L. Grimson, C. Stauffer, R. Romano, L. Lee, P. Viola, O. Faugeras, Second International Workshop on Cooperative Distributed Vision, Osaka, Japan, November 1998.
“Using Adaptive Tracking to Classify and Monitor Activities in a Site,” W.E.L. Grimson, L. Lee, R. Romano, and C. Stauffer, Proceedings of Computer Vision and Pattern Recognition, 1998, pp. 22-31.
“Face Verification for Real-time Applications,” R. Romano, D. Beymer, and T. Poggio, Proceedings of Image Understanding Workshop, Vol. 1, Palm Springs, CA, February 1996, pp. 747-756.
Awards & Activities
#YesWeCode Advisory Board, 2015-present.
Watsonville Tecnología-Educación-Comunidad (TEC) Community Leadership Council (CLC), 2012-2014.
Anita Borg Institute, Industry Advisory Board, 2009.
Latinas in Computing, Co-Founder, 2006.
LBNL Laboratory Directed Research and Development (LDRD), 2005.
$80,000 research grant for Statistical Feature Modeling for Scientific Data Via Basis Decomposition