INSTRUCTIONS - PROFESSORS: Please print and review this form. Complete or correct the sections, as applicable, from "Supervisor's Name" to "Ethics, safety, and training". Please sign and date near the bottom ("Supervisor's signature").
INSTRUCTIONS - STUDENTS: You may receive this form by email, or you may simply print this webpage. Either way, print and review this form. Complete or correct the sections, from "Student's Name" to "Student's Level", and sign ("Student signature"). Ask your supervisor to sign her/his section near the bottom. Take it to the department* corresponding to the course number in Section A; this may or may not be your own department. (* EXCEPTIONS: For NSCI 396 and COGS 396, please bring it to the Interdisciplinary Programs Adviser in Dawson Hall.) Do not register for a '396' course on Minerva until you receive departmental permission. Have a discussion with your supervisor about time/work expectations, keeping in mind that this is a 3-credit course (roughly, 10 hours per week for 12 weeks). Remember that a '396' course is an elective.
INSTRUCTIONS - DEPARTMENTS: After the unit chair/director/designate approves (or not) this project, please notify student. If approved, please give student permission to register on Minerva, and send a copy of this form (with signatures) to the Office for Undergraduate Research in Science (either fax, or internal mail to Dawson Hall 408-A, or PDF scan + email).
QUESTIONS OR FEEDBACK? Contact the Office for Undergraduate Research in Science.
Supervisor's Name: Simon Gravel
Supervisor's Email: simon.gravel [at] mcGill.ca
Supervisor's Phone: 5143984400 #0753
Supervisor's Website: http://simongravel.lab.mcgill.ca/
Supervisor's department: Human Genetics
Course number: HGEN 396 (Human Genetics)
Term: Summer 2014
Project start date: May 1, 2014
Project end date: August 31, 2014
Project title: Inferring history using genetic data
Project description (50-100 words suggested): Our group uses population genetics to learn about the history, evolution, and biology of human populations. A common approach is to use a historical model to predict patterns of genetic diversity across human populations. By comparing model predictions to sequencing data, we can search for the most likely historical events. The goal of this project is to improve the way historical models are tested by overcoming some computational and statistical limitations. This is a great occasion to familiarize oneself with population genetics, optimization, python programming, statistics, and a fair amount of human (pre)history.
Prerequisite: 1 term completed at McGill + CGPA of 3.0 or higher; or permission of instructor.
Grading scheme (The final report must be worth at least 50% of final grade): Final grade shall be based on an evaluation of laboratory (or equivalent) performance (40%), a final written report (50%), and an oral presentation (10%) by the supervisor. Details of the evaluation scheme will be provided by HGEN to supervisors and applicants.
Project status: This project is open to applicant.
How students can apply / Next steps: After all of the parts of this application forms are completed and the hard copy is signed by the professor and the student, bring the application form and a copy of your unofficial transcript to the Department of Human Genetics (to the attention of Dr. Patricia N. Tonin, Stewart Biology Building N5.13) during office hours.
Ethics, safety, and training: Supervisors are responsible for the ethics and safety compliance of undergraduate students. This project involves NEITHER animal subjects, nor human subjects, nor biohazardous substances, nor radioactive materials, nor handling chemicals, nor using lasers.