Field of Study:
Computer science, biomedical engineering, biophysics, but open to others
Department:
Department of Radiation Oncology, College of Medicine
Rank of Student:
Freshman, Sophomore, Junior, Senior
Desired Majors:
Computer science, biomedical engineering, biophysics, but open to all majors
Hours per Week:
4
Compensation Type:
Academic Credit,
Voluntary Experience
Application Deadline:
Contact:
simeng.zhu@osumc.edu
Private
Public
Project Description
We're working on multiple projects that leverage machine learning to tackle real-world problems in cancer care, from predicting how patients respond to treatment to analyzing medical images. Students will gain hands-on experience developing AI algorithms with close mentorship from the PI. No clinical background needed!
Required Applicant Information
(1) Resume/CV
(2) an indication of what type of project you might be interested in working on
(3) expected schedule/availability for the next few months.
(2) an indication of what type of project you might be interested in working on
(3) expected schedule/availability for the next few months.
Required or Desired Skills
-Basic familiarity with Python and common machine learning frameworks (e.g. PyTorch)
-Interest in solving clinical problems with AI tools
-Interest in solving clinical problems with AI tools
Faculty Member Lead:
Simeng Zhu MD
Starting Semester:
Autumn,
Spring,
Summer
Length of Project (in semesters):
2