CV

Employment

Ph.D in Linguistics, MIT, 2022
M.Phil. in General Linguistics & Comparative Philology, University of Oxford, 2017
B.A. in General Linguistics, Language & Communication, University of Hong Kong, 2015

Summer 2019: Research Intern @ Centre for General Linguistics (ZAS), Berlin, Germany
2019-2020: Graduate Researcher @ MIT Computational Psycholinguistics Lab, Cambridge MA
2017-Present: Graduate Researcher @ MIT Language Acquisition Lab, Cambridge MA
2015-2017: Research Assistant @ Language and Brain Lab, Oxford, UK
Spring 2015: Marketing Intern @ Hong Kong University Press, Hong Kong

Expertise: Natural Language Processing, Linguistics, Machine Learning, Language Data Annotation
Programming: Python (NLTK, PyTorch, pandas, Tensorflow), R, Shiny, Markdown, SQL, JavaScript (including WebPPL), HTML, CSS, git, LaTeX
Data skills: Data collection, data annotation, data processing, data visualization, statistical analysis (frequentist, Bayesian; GLM, GAM), computational modeling, experiment design, taxonomy design
Project skills: project management, quantitative & qualitative research, oral & written presentation
Languages: English (near native), Mandarin (native), Cantonese (fluent), Brazilian Portuguese (beginner)

Diversity, Equity & Inclusion Fellow, Massachusetts Institute of Technology
Member, Committee on Ethnic Diversity in Linguistics, Linguistic Society of America
Equal Opportunity Ambassador, University of Hong Kong

Data Science & Machine Learning:
- Inferential Statistics; Logistic Regression; Practical Machine Learning;
- SQL for Data Science; Data Wrangling, Analysis, and AB Testing with SQL;
- Neural Networks and Deep Learning
Natural Language Processing Specialization:
- NLP with Classification and Vectors; NLP with Probabilistic Models; NLP with Sequence Models; NLP with Attention Models;
- NLP in TensorFlow