Glaucoma specialist and informaticist

Education and Training: 

• Harvard University, A.B. magna cum laude in Biochemical Sciences
• University of California, San Francisco, School of Medicine, MD 
• University of California, San Francisco, Department of Epidemiology and Biostatistics, Advanced Training in Clinical Research Certificate 
• Kaiser Permanente Northern California Oakland, Medical Internship (PGY 1) 
• Kellogg Eye Center, University of Michigan, Ophthalmology Residency (PGY 2-4) 
• Byers Eye Institute, Stanford University, Combined Glaucoma and Research Fellowship (PGY 5-6) 
• Department of Biomedical Data Science, Stanford University, M.S. candidate in Bioinformatics 

Curriculum Vitae: 

Academic CV attached. 

Research Interests: 

I use and integrate a wide variety of data sources in my research, spanning both structured and unstructured forms, including national survey datasets, health insurance claims data, patient generated online text, and electronic health records. I investigate outcomes of treatments for glaucoma and cataract, as well as other areas of ophthalmology, while developing and applying novel methods for automated extraction of ophthalmic data from free text.

Portfolio: 

• Low Vision Poster for MCBK Conference, June 30th 2020 [download]

Software/Programs/Other Files: 

• Github username: eyelovedata 
• Ophthalmology domain-specific word embeddings, trained on ophthalmology scientific literature abstracts indexed on PubMed [download]. Additional information on how to use these embeddings can be found at Github Repo eyelovedata/ophthalmologywordembeddings. 

Publications: 

• Complete list of publications linked at PubMed NCBI here.  or at Google Scholar here.