I am a researcher at FAIR Labs at Meta in Seattle. I completed my PhD in Computer Science at the University of Maryland at College Park titled "Evaluating Machine Intelligence with Question Answering" in 2021. I worked in the Computational Linguistics and Information Processing (CLIP) Lab with Jordan Boyd-Graber.
Thus far I have primarily worked in Natural Language Processing (NLP), but have recently started working in Reinforcement Learning (RL) for Compiler Optimization as well. Methodologically, my research focuses on improving how we evaluate machine learning and NLP models. This encapsulates improving how we build datasets, improving evaluation methodology, creating better benchmarks, and making sure that these align with intended use. Topically, I am interested in question answering, information retrieval, and RL for compiler optimization.
In my free time, I am an avid skier, climber, hiker, and violinist.
- I have been a researcher at Meta AI since April 2021
- Throughout my undergraduate and graduate studies I interned extensively and accumulated over three years of industry experience.
- I was a research intern at Google AI-Zürich working on question answering and fact verification during Winter 2019/20.
- At Facebook Conversational AI I worked on conversational information seeking which resulted in an EMNLP 2020 publication.
- During summer 2018 I was a research intern at Microsoft Research in the Information and Data Science Group.
- I was a data science intern at Riot Games and Oracle/Datalogix.
- Prior to starting my PhD, I was a data scientist at Zillow Group/Trulia.
I defended my PhD dissertation in computer science at University of Maryland at College Park in April 2021. I earned my Bachelor's Degree in Computer Science from the University of California at Berkeley in December 2014. During my undergraduate degree, I was a research assistant in UC Berkeley's AMPLab, UC Berkeley's Astronomy Department, and Boise State University's Cryosphere Group.
- Area Chair for COLING 2022
- Organizer for the Dynamic Adversarial Data Collection (DADC) Workshop at NAACL 2022
- Session Chair at NAACL 2022
- Grant Proposal Reviewer for Meta AI RFP: Dynabench Data Collection and Benchmarking Platform
- Reviewer for the Workshop on Insights from Negative Results in NLP
- Reviewer for ACL ARR 2022
- Reviewer for ACL ARR 2021
- Reviewer for EMNLP 2021
- Sub-committee Co-Chair for Diversity and Inclusion for ACL 2021
- Reviewer for ACL 2021
- Reviewer for NAACL 2021
- Secondary Reviewer for EMNLP 2020
- Secondary Reviewer for ACL 2019
- Founding member and former captain of the Colorado Data Science Team.
Certifications and Professional Organizations
- Member of Association for Computational Linguistics
- Certified avalanche instructor for the National Ski Patrol
- Professional member of the American Avalanche Association.
As a bilingual avalanche safety instructor, I have taught hundreds of students throughout Idaho, Oregon, California, Colorado, Argentina, and Chile how to safely enjoy backcountry skiing and riding. In my blog, I've posted several of my lectures and written on snowgeek.org as well. Fun fact: I got my nickname "Pinguino" while teaching in Argentina (e.g., the favicon for my site is a penguin).