Research Interest: Skillset, Commitment, and Attitude
Thank you for contacting me about potential research; we are very excited to get to know you better and working hard towards a  common research objective together.

Our lab policy is that students should only commit to ONLY ONE research project at a time and not be working at multiple research labs simultaneously.   Reference letters are given in preference to students who have been committing full-time in our lab for at least ONE year (12 months) or longer with publication.

Who:  All research students
When:  The research is split into three consecutive time chunks of 4 months (Jan-Apr, May-August, Sept-Dec). 
Why:  Research training to help your goals while aligning with our research goals towards publication in every two months on 15th (Sept/Nov/Jan/Mar/May)
How:  Virtually online in EST with daily scrum 10:30 a.m. EST (night time in India, afternoon in London), weekly group meetings (take turn presenting), plus scrum updates thrice a week.
What:  We have several types of projects available based on your background knowledge, coding ability, time commitment, and desire to publish.
1.  Annotation project requiring time and knowledge of a second language
2.  Exploratory project requiring reading and summarization of scientific literature
3.  Coding project requiring substantial python ability for data cleaning
4.  Machine Learning research - requiring advance PyTorch/HuggingFace and Natural Language Processing background

For Undergraduate applicants, please meet with Prof Lee BEFORE first to match with an appropriate project and challenge question.  For Graduate Applicant please book a meeting AFTER submitting the challenge question.  Next, you may book an appointment with her at https://calendly.com/prof-annie-lee (on Friday afternoon or another afternoon end-of0day)


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Name (First and Last) *
When is your start date? *
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YYYY
When is your end date?
MM
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DD
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YYYY
How many hours can you commit weekly? *
Can you commit to an earlier starting date?  If yes, what date and how many hours per week? *
Can you commit to a later end date?  If yes, what date  and how many hours per week? *
Length of Commitment (Number of Months)
 *
Are you able to commit to conference publication submission after the opportunity?  Pick all that apply *
Required
List of courses you have taken and grades achieved (expected is fine)
 *
95+
90-94
85-89
80-84
Below 79
Not Taken
Currently or Going to be Taking
Intro to ML (CSC311)
Deep Learning (CSC412)
Natural Language Computing (CSC401/2511)
List the Programming Languages, Packages, Tools you have experience in using before. * are the ones we use
Beginner (4 months, 1 project)
Intermediate (1 year, 3 projects)
Proficient (1-5 years)
Expert (5 years+)
n/a
Tools: Colab, Jupyter Notebook, Github
Data packages: Pandas
ML Packages: Scikitlearn, numpy, scipy
NLP Packages: NLTK, Gensim, spaCy
*DL Packages: PyTorch, TensorFlow, Keras
*LLM Packages: HuggingFace and Transformers
*Advanced LLM: fairseq, Langchain,
*Canada Compute and SOSCIP and Slurm
Reproduce Papers with Code Github
Clear selection
List any other Programming Languages, Packages, Tools
Which scientific activity have you participated previously (in the past)?
Beginner (4 months, 1 project)
Intermediate (1 year, 3 projects)
Proficient (1-5 years)
Expert (5 years+)
n/a
Project Management / Coordinate Team
Read and present a research paper in depth
Conduct Full Literature Survey/Review
Data Munging: Cleaning Data and Scraping Webpage
ML Modelling: Write code and debuh
Experiments: Running/Optimizing Experiments on GPU or on the Cloud
Analyzing results, connecting them to literature, and writing discussion
Presenting scientific poster or presentation
Research Paper/Report Writing
Clear selection
List any other skillsets
What is your background in NLP/ML/DL (i.e. courses, tools , projects)
Short answer for your interest and skillset match for your first choice
How would you rate yourself on these characteristics? (5 for high, 1 for low)
1
2
3
4
5
Creativity
Problem Solving
Coding and Debugging
Independence and Maturity
Math skills
Perseverance
Experimental Organization
Responsible/initiative/commitment
Hardworking
Focus on problem/task, not distracted or too much extra curricular
Clear selection
Which language do you know, especially considering low-resource languages.  Please list all interesting dialects in your family/community
The link to your solution of the Challenge Questions of the project you are interested in working on.  https://docs.google.com/document/d/1F0yPVs7YxExzqPiCESockILN-6e5NWRxtUNda0WuOqc *
Please pick your top project of preference, optionally you may choose another 2 additional choices.  Make sure to list your top choice in the next question.  Scholarship students, we know the project you applied for.
Submit
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