
Special 1v1 STEM Program
Identifying Drug Candidates for Cancer or Alzheimer’s Disease using Computational Screening Tools
Faculty Advisor: Assistant Professor, Cornell University's Medical School; Principal Investigator of a Lab at Cornell University
Research Program Introduction
This opportunity offers personalized, one-on-one research mentoring. Each student is assigned a unique project tailored to their interests, focusing on protein targets related to cancer or Alzheimer's disease. The goal is to identify drug candidates using virtual screening tools.
Dr. G will meet with each student to discuss available protein targets and finalize the selection for the research paper. Dr. G and the student will have approximately weekly meetings over the course of the 10 weeks.
Students will conduct research using computational tools, guided by these weekly meetings. The typical outcome is the identification of promising drug candidates, validated computationally, and documented in a research paper.
Program Structure
Equivalent of 10 x 1 hour 1-on-1 meetings with Faculty Advisor
Paper editing support from Faculty Advisor
Methodology videos and central support from Scholar Launch team
Faculty Advisor also offers post-program support for publication and competition processes, which may include reviewing application materials and presentations for competitions.
Dr. G offers selected students the chance to continue their work, for example by validating their findings in his lab.
Program Details
Duration: 10 weeks
Meeting Times: The total meeting time with Dr. G may be distributed flexibly depending on the student's in-program and post-program (i.e publication support) needs.
How to Apply
This is a competitive opportunity and Dr. G. will hold a preliminary meeting with all student applicants. Scholar Launch will support students through the application process. Students will receive a decision within 2 weeks of submitting their application.
Students must submit:
Scholar Launch Intake form
Resume
School transcript (unofficial transcripts are accepted)
Optional: Writing sample