// Imports
#import "../template/template.typ": cvSection, cvEntry
#let metadata = toml("../metadata.toml")
#let cvSection = cvSection.with(metadata: metadata)
#let cvEntry = cvEntry.with(metadata: metadata)


#cvSection("Research Projects")

#cvEntry(
  title: [Oral Premalignancy Progression Prediction | PI: <NAME>, MD, PhD],
  society: [University of Chicago Department of Hematology and Oncology],
  date: [2024-current],
  location: [Chicago, IL],
  description: list(
    [Building model to predict progression of oral premalignant lesions based on deep learning of histopathology],
    [Combined datasets from UChicago, University of Iowa, Brazil, and the NIH]
  ),
)

#cvEntry(
  title: [Oral Cavity Resection Margins | PI: <NAME>, MD],
  society: [Endeavor Health / NorthShore University Health System],
  date: [2024-current],
  location: [Chicago, IL],
  description: list(
    [First prospective study to assess impact of resection margins on recurrence rate of cT1 and cT2 oral cavity SCC],
    [Submitted IRB and created REDCap database for HIPAA-compliant data storage],
    [Patient enrollment currently ongoing]
  ),
)

#cvEntry(
  title: [COPD Readmission Prediction | PI: <NAME>, MD, MPH],
  society: [University of Chicago Department of Medicine],
  date: [2018-2021],
  location: [Chicago, IL],
  description: list(
    [PI: <NAME>, MD, MPH],
    [Built machine learning model using electronic health record data to predict risk of readmission after COPD excerbation],
    [Disseminated findings at international, national, and regional conferences],
    [Received Healthcare Delivery Science Award for research excellence at 2018 Pritzker Summer Research Forum],
    [Received Health Service Research Abstract Award at 2019 American Thoracic Society International Conference],
  ),
)

#cvEntry(
  title: [Head & Neck Cancer Recurrence Database | PI: <NAME>, MD, PhD],
  society: [University of Chicago Department of Medicine],
  date: [2020-2021],
  location: [Chicago, IL],
  description: list(
    [Built natural language processing classifier to extract tumor data from radiology notes],
    [Data will be combined with content extracted from pathology notes to build a recurrence database to assess efficacy of treatment modalities and determine predictors of recurrence],
  ),
)

#cvEntry(
  title: [COVID-19 Natural History | PI: <NAME>, MD],
  society: [University of Chicago Department of Medicine],
  date: [2020-2021],
  location: [Chicago, IL],
  description: list(
    [Chart reviews of first 413 COVID patients at UChicago Medical Center],
    [Literature review for subgroup analysis of COVID in young and obese patients],
    [Poster accepted at HIV Glasgow 2020 conference]
  ),
)