Los Angeles, California, United States
- mentored by Dr. Ricky Taira from UCLA Department of Radiological Science - focused on developing NLP pipelines that automatically detect patients with tumor(s), smoking history, signs of obesity and obesity-related comorbidities from observed/inferred evidence documented in unstructured electronic health records. - NLP concepts used: traditional NLP, named-entity recognition, knowledge-base linking, document-level and sentence-level classifications, transformer-based classification models - NLP techniques used: Python, PyTorch, NLTK, SciSpacy, StanfordCoreNLP(Stanza), HuggingFace, Numpy, JupyterLab
- Teaching Assistant for four upper division courses at UCLA Department of Bioengineering: BE167L, BE180, BE176 & BE177. - Responsible for lecturing course topics, advising projects, grading assignments, and holding office hours. - Course topics span from application of machine learning principles, Python programming techniques, computer vision, and biocompatibilities of biomedical devices
- Technical researcher and data analyst under the supervision of Dr. A. Meyer and Dr. S. Bae at UCLA. - Developing a high-throughput screening assay to identify potential immunotherapies inhibitors. - Presentation received 3rd place in the UCLA Bioengineering Symposium (2018). - Successfully detected fluorescence signals that characterize the binding of TAMR and PS on 96w plates.