I'm a final-year Ph.D. Candidate at UCSD, advised by Jingbo Shang,
specializing in NLP and knowledge extraction from unstructured data. My research focuses on developing scalable
solutions for low-resource settings using minimal supervision.
Iām passionate about advancing AI research and applications that drive meaningful impact.
With an anticipated graduation date of March 2025, I am currently on the job market and would
love to connect if you think Iād be a great fit for your team!
GE HealthCare, San Ramon, CA
Joan & Irwin Jacobs Center for Health Innovation, UC San Diego
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 Machine Learning at UCSD
Teaching Assistant for Introduction to Data Mining at UCSD
Lead Teaching Assistant for the graduate level course Advanced Data-driven Text Mining at UCSD
Program committee member for the Unsupervised and Weakly-Supervised Methods in NLP workshop
Program committee member for the BioNLP workshop, co-located at ACL
Mentor for incoming Computer Science and Engineering students
Mentored junior web developers. Conducted code reviews and developed curricula to address gaps in understanding.