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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.


  • 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. 


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


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