NCI Data Jamboree (Project Abstract Submission): Submission #40

serial: '40'
sid: '189052'
uuid: 27cf923b-ced8-4fda-8246-c51b9aaeb08b
uri: /nci/datajamboree/abstractsubmission
created: '1785157893'
completed: '1785158695'
changed: '1785158695'
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langcode: en
webform_id: nci_data_jamboree_abstracts
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data:
  list_of_additional_authors: {  }
  category: 'Developing, refining, or validating tools, methods, algorithms, and pipelines'
  degree_s_: Ph.D.
  email: alice.kwak@va.gov
  first_name: Alice
  keywords_abstracts: ''
  last_name: Kwak
  middle_initial: S
  organization: 'Department of Veterans Affairs'
  organization_address:
    address: ''
    address_2: ''
    city: Boston
    country: ''
    postal_code: ''
    state_province: ''
  summary: 'I am a postdoctoral fellow in the Department of Veterans Affairs (VA) Big Data Scientist Training Enhancement Program (BD-STEP), where I work in clinical natural language processing (NLP) and information extraction. My current research focuses on extracting diagnostic factors from prostate cancer biopsy reports to transform unstructured clinical text into structured data for research and clinical applications. I would like to participate in the Data Jamboree to gain hands-on experience working with diverse cancer datasets and to learn from researchers with expertise in complementary areas. I am particularly interested in contributing my experience in clinical NLP while expanding my knowledge of cancer data analysis and collaborative research. Through the Jamboree, I hope to strengthen my technical skills, gain exposure to new approaches for working with cancer datasets, and build connections with researchers and clinicians in the field. I believe this experience will support my research and foster future collaborations in cancer informatics.'
  title: 'BD-STEP Fellow'
  ttile: 'Clinical NLP for Cancer Information Extraction'