Student mentorship

École Polytechnique (X), Harvard University, McGill University, Yale University and University of Guelph students were mentored during their tenure in the Blanchette (McGill and X), Gerstein (Harvard and Yale) and Kremer (Guelph) laboratories, respectively.

At this time, Dr. Cameron is not taking on new trainees.

Rekkab Gill Qanita Turabi Seb Seager
Rekkab Gill 
MSc, Guelph
2021–24
3D genome organization		 Qanita Turabi 
MBinf, Guelph
2023
3D genome organization		 Seb Seager 
BSc, Yale
2020–23
cryo-EM
David Peng Alexandra Haslund-Gourley Matthew Kirchhof
David Peng 
BSc, Yale
2021–22
cryo-EM		 Alex Haslund-Gourley 
BSc, Yale
2020–21
cryo-EM		 Matthew Kirchhof 
MSc, Guelph
2019–21
3D genome organization
Ellen Qian Abhinav Godavarthi Julian Rubinfien
Ellen Qian 
BSc, Yale
2020–21
cancer		 Abhinav Godavarthi 
BSc, Yale
2019–20
immune profiling		 Julian Rubinfien 
BSc, Yale
2019–20
cryo-EM
Julie Prost Seara Chen Jack Guo
Julie Prost 
MSc, McGill
2018–19
3D genome organization		 Seara Chen 
BSc, McGill
2016–18
3D genome organization		 Jack Guo 
MSc, McGill
2017–18
machine learning
Pouriya Alikhani Côme Weber
Pouriya Alikhani 
BSc, McGill
2017
C. elegans		 Côme Weber 
MSc, X
2016
3D genome organization

Rotation, short-term, and internship students

Joann Amoako  High school intern, NYSBC (2024) — cryo-EM
Eric Ni  PhD rotation, Yale (2020–24) — cryo-EM
Alex Lan  BSc short term, Yale (2023–24) — 3D genome organization
Leo deJong  BSc short term, Yale (2023) — cryo-EM
Tony Li  BSc short term, Yale (2023) — cryo-EM
Susanna Liu  BSc short term, Yale (2022) — cryo-EM
Maaz Syed  BComp short term, Guelph (2022) — 3D genome organization
Mihir Gowda  BSc intern, Harvard (2020) — cryo-EM

Course lecturing

COMP 364 Fall 2017: Computer Tools for Life Sciences (3 Credits)

School of Computer Science, McGill University
Co-instructed with Carlos G Oliver

Description

Introduction to computer programming in a high level language: variables, expressions, types, functions, conditionals, loops, objects and classes. Introduction to algorithms, data structures (lists, strings), modular software design, libraries, file input/output and debugging. Emphasis on applications in the life sciences.

By the end of this course, students will be able to:

  1. Design and describe precise, unambiguous instructions that can be used [by a computer] to solve a problem or perform a task
  2. Translate these instructions into a language that a computer can understand (Python);
  3. Write programs that solve complex problems (especially those arising in Life Sciences) by decomposing them into simpler subproblems
  4. Apply programming-style and structure conventions to make your programs easy to understand, debug and modify
  5. Learn independently about new programming-language features and libraries by reading documentation and by experimenting

Python v3.6 (via Anaconda) and Sublime (or any other plain text editor)

Textbook

How to Think Like a Computer Scientist: Interactive Edition (Python)

Student evaluation

      Quizzes: 5% (10 quizzes worth 0.5% each)
      Assignments: 35% (5 assignments worth 7% each)
      Midterm exam: 20%
      Final exam: 45%

Example lecture below:


An example Jupyter notebook assignment may be downloaded here.
(requires Anaconda and Python 3)

Certificate of College Teaching Preparation (CCTP)

Certificate of Completion (July 2020)

Administered by the Yale Center for Teaching and Learning (CTL) and Center for the Integration of Research, Teaching and Learning (CIRTL), the CCTP program provides comprehensive training in effective college teaching.

Requirements of the CCTP and CIRTL association:

  1. CIRTL MOOC: an introduction to evidence-based undergraduate STEM teaching
  2. Six CTL Advanced Teaching Workshops (ATWs), CIRTL workshops, or short courses
  3. Two occasions of observing others teaching with written reflections
  4. Participation in two learning communities
  5. Compiled teaching portfolio

The compiled teaching portfolio is available upon request. Please send an email with “Teaching portfolio request” as the subject line.