I'm a Ph.D. Candidate studying NLP at UCSD. My advisor is Jingbo Shang.
My research interests lie in extracting structured knowledge from unstructured data using minimal supervision. Recently,
I constructed an NLP pipeline to automatically extract linking relationships between
bacteria and diseases from biomedical texts. I'm passionate about using my skills to improve
people's lives everywhere.
When I'm not writing papers, you can find me 🏄, riding my 🚲, getting into a 📘, or trying something new like
making soap or gin from scratch.
Joan & Irwin Jacobs Center for Health Innovation, UC San Diego
Dell Technologies, Round Rock, TX
Dell Technologies, Round Rock, TX
Center for Microbiome Innovation, UC San Diego
Design Action Collective, Oakland, CA
DataCenter, Oakland, CA
University of California, Santa Cruz
University of California, San Diego
Specialization in machine learning and NLP
University of California, San Diego
Specialization in NLP and weakly supervised methods
Designed a model to predict wine varieties based on a combination of textual features. We experiment with various combinations of features and three loss functions: negative log-likelihood, KL-divergence, and a custom LASSO loss function.
picture_as_pdf terminalDesigned and built a transformer to generate position-specific scoring matrices for protein sequences.
picture_as_pdf terminalImproved on existing state-of-the-art date-wise and clustering news timeline summarization (TLS) approaches, introduced more representative evaluation metrics, and expanded the available datasets to train news TLS models.
picture_as_pdf terminalBuilt a convolutional, residual, and recurrent neural network (CRRNN) that uses protein sequences and corresponding position-specific scoring matrices to predict protein secondary structures.
picture_as_pdf terminalReproduced results from recent works in image style transfer using convolutional neural networks.
picture_as_pdf terminalTeaching Assistant for Introduction to Data Mining at UCSD.
Lead Teaching Assistant for the graduate level course Advanced Data-driven Text Mining at UCSD.
Participated as a program committee member for the Unsupervised and Weakly-Supervised Methods in NLP workshop.
Participated as a program committee member for the 21st BioNLP workshop, co-located with ACL, 2022.
Welcomed incoming students to campus and the Computer Science and Engineering program.
Mentored junior web developers on coding best practices. Conducted code reviews and developed curricula to address gaps in understanding.