My interests lay the intersection of machine learning and disaster response and most recently I have worked with the CDC and the WHO in development of machine learning and data management systems to respond to the COVID-19 pandemic.
I grew up in Las Vegas and I enjoy running, hiking, spending time outdoors and in my spare time I am also an Instrument Rated Private Pilot, Advanced EMT, and a Firefighter. I love working with my hands and learning new skills which I can apply in new ways.
I graduated from Carnegie Mellon with a Masters of Language Technologies. My educational background is in NLP and in my graduate studies I worked with Bosch GmbH, DARPA, and Boeing on question answering and search systems.
Download CVExamination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation
Shao, Mantravadi, Manzini, Buendia, Knoertzer, Srinivasan, Quirk
Workshop on Natural Language Interfaces, Association for Computational Linguistics 2020
Seattle, Washington, USA
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Manzini, Lim, Tsvetkov, Black
NAACL-HLT ’19. The Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Minneapolis, Minnesota, USA
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Pham, Liang, Manzini, Morency, Póczos
AAAI ’19. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence
Honolulu, Hawaii, USA
Paper Presentation Poster Repository
