Workshops and Certificates
Special Notice
Please note that this webpage is in the process of being rolled out to the public.
We apologize for the inconvenience, and relevant sections will be added soon.
I. Workshops
Below I provide a list of workshops I attended where I cultivated new skills and refined my abilities.
Spatial Analysis
Cadieux, N. (2023, April 13,).
Introduction to working with LiDAR in CloudCompare,
McGill Department of Geography
Montréal, CQShi, R. (2023, February 16).
Introduction to working with vector data in ArcGIS Pro,
McGill Department of Geography
Montréal, CQElrick, T. (2023, February 9).
Introduction to working with raster data in R Studio.
McGill Department of Geography
Montréal, CQ
- Learned to analyze and manipulate raster data in R using
rgdal,tmap,terra,rasterVis, andsfpackages. - Worked with digital elevation models (DEMs), reproject data, convert vector data into raster data, conduct focal and global operations, and communicated findings using both 2D and 3D visualization tools.
- Elrick, T. (2023, February 2).
Introduction to working with vector data in R Studio.
McGill Department of Geography
Montréal, CQ
- Learned to analyze vector data in R using
tmap,sf, andosmdatapackages. - Downloaded datasets directly from URL links, APIs, and web scraping to create both static and interactive maps.
- Massie-Vereker, V. (2023, January 26).
Introduction to working with GeoPandas in Python.
McGill Department of Geography
Montréal, CQ
Non-Spatial Analysis
Bring Your Own Project. (February 17, 2023).
The Digital Research Alliance of Canada. HSS Winter Series 2023. Virtual.Vigneau, S. (2021). (Part 3: Multiple Sessions).
From Data Import to Tidy and Relational Data. R Studio for Data Science (R4DS) Learning Circle.
Boston, USA.Vigneau, S. (2021). (Part 2: Multiple Sessions).
From Data Exploration to Data Wrangling. R Studio for Data Science (R4DS) Learning Circle.
Boston, USA.Vigneau, S. (2021). (Part 1: Multiple Sessions).
From Data Visualization to Data Transformation. R Studio for Data Science (R4DS) Learning Circle.
Boston, USA.
Machine Learning
- Women’s Data Night:
Predict the gender pay gap with Machine Learning
(2023, Nov 28) Le Wagon.
Montreal. [Crossref].
Tested, trained, and predicted customer turnover in Python’s scikit package using nearest K-Nearest Neighbours (KNN) machine learning technique on a large dataset.
Machine Learning for HSS. (February 17, 2023).
The Digital Research Alliance of Canada. HSS Winter Series 2023. Virtual.Sensitive Data Project. (February 17, 2023).
The Digital Research Alliance of Canada. HSS Winter Series 2023.
Biology
- “R-omics”: Using R for bioinformatics (Oct 30, 2023).
R Ladies Montreal.
Montreal, CA
https://www.meetup.com/rladies-montreal/events/296559481/
- Received and applied training on introductory bioinformatics based on personal interest in Biology and sciences overall, demonstrating tremendous capacity to retain and actively grow from high school science education.
- Sequenced DNA code into amino acids and performed additional analyses on genomic data using packages like
Bioconductor/Biostrings,seqinr,samtools, andShortReads. - Used the SSH command line to work with tools like
Blastto compare a human coronavirus 3C-like protease (partial) sequence against [NCBI’s protein database]. - Used spatial biology techniques to map gene expression from mouse brain scans.
- Learned to visualize data with attention to handling batch effects and multiple testing in large multidimensional datasets.
II. Certificates
Artificial Intelligence (AI)

- Artificial Intelligence (AI) Policy (In Progress).
Centre for AI and Digital Policy (CAIDP).
Remote. [CrossRef].
Indigenous Education

Reconciliation Education.
(February 29, 2024). First Nations University of Canada.
Montreal, CA.Additional Modules: Treaties.
(March 4, 2024). First Nations University of Canada.
Montreal, CA.Additional Modules: Residential Schools.
(March 4, 2024). First Nations University of Canada.
Montreal, CA.Additional Modules: Economic Reconciliation.
(February 29, 2024). First Nations University of Canada.
Montreal, CA.Additional Modules: Colonial Lens.
(February 29, 2024). First Nations University of Canada.
Montreal, CA.Additional Modules: United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP).
(February 26, 2024). First Nations University of Canada.
Montreal, CA.
Security and Regulations
BMTT: Anti-Money Laundering Essentials.
(February 15, 2024). CIBC.
Montreal, CA
CMTT: Protect Information.
(November 29, 2023). CIBC.
Montreal, CA
CMTT: Confidentiality and Privacy.
(November 29, 2023). CIBC.
Montreal, CA
CMTT: Prevent and Detect Fraud.
(November 29, 2023). CIBC.
Montreal, CA
Developed an understanding of types of internal and external fraud (defalcation, kiting/worthless deposits, impersonation, fraudulent financial reporting, asset misappropriation, fraudulent loans, data manipulation, rogue trading, expense manipulation, and bribery). Learned policy mechanisms to prevent fraud (dual control and duty segregation) as well as how to identify and report possible cases using real-world examples.
CMTT: Anti-Bribery and Anti-Corruption
(November 29, 2023). CIBC.
Montreal, CA
CMTT: Anti-Money Laundering and Anti-Terrorist Financing. (November 29, 2023). CIBC.
Montreal, CA
Developed an understanding of the sources of illicit financing and how to identify, and report them.
Leadership
Disrupt Bias in the Decision-making Process. (February 8, 2024). CIBC.
Montreal, CA
Manage in-the-Moment Interactions. (February 8, 2024). CIBC.
Montreal, CA
Employee Action vs. Client Impact in Client Conversations. (February 8, 2024). CIBC.
Montreal, CA
BMTT: Supporting Clients With Disabilities. (January 31, 2024). CIBC.
Montreal, CA
Technology
- Introduction to Microsoft 365 Copilot. (Dec 26, 2024). Microsoft.
- Describe the purpose and functionalities of Microsoft 365 Copilot.
- Outline the working principles behind Copilot.
- Identify the core components integral to Microsoft 365 Copilot.
- Articulate Microsoft’s dedication to responsible AI practices.
- Explore the possibilities with Microsoft 365 Copilot. (Dec 26, 2024). Microsoft.
- Describe the purpose and functionalities of Microsoft 365 Copilot.
- Outline the working principles behind Copilot.
- Identify the core components integral to the app.
- Articulate Microsoft’s dedication to responsible AI practices.