Application Details

2018 Conference Dates: November 29-30, 2018

Application Deadline: August 31, 2018

Conference Location: Boston, MA

Early applications are strongly encouraged. We give priority to those students who have not attended the conference before; we will still consider your application if you are a past attendee.

Survey questions will prompt you to provide: 

  • Contact Information
  • Demographic Information
  • Academic Information

You will be asked to upload (in an MS Word doc/docx or PDF):

  • 1) Resume
  • 2) Personal Statement (1-2 pages)
    • Note: The personal statement should describe your academic and professional interests, your interest in public health, your experience and strengths in quantitative sciences and/or mathematics/mathematical modeling, and why attending this conference is beneficial to your academic pursuits.
  • 3) Academic Transcript
    • Note: Unofficial copies are acceptable to avoid a fee. Only PDF format is acceptable.
  • 4) Verification of Eligibility Form
    • Note: an advisor or professor must sign this form to verify that you are an undergraduate student or student in a post-baccalaureate program, and that you are in good standing at your program/institution and are from an underrepresented minority group.

**Eligibility: 

Students must satisfy all the requirements below. Applicants must be/have:

  • U.S. citizens, U.S. nationals or permanent residents of the U.S.
  • undergraduate students or students in a post-baccalaureate program
  • from an underrepresented group(s) in biomedical research, which includes:
    • racial and ethnic groups that are underrepresented, such as: Blacks or African Americans, Hispanics or Latinos/as, American Indians or Alaskan Natives, Native Hawaiians and other Pacific Islanders
    • students with disabilities
    • students from an economically disadvantaged background (requirements: https://aspe.hhs.gov/poverty-guidelines)
    • students who are first-generation college students
  • a GPA of 3.0 or above
  • from a quantitative science background OR have taken several quantitative classes beyond introductory-level courses.