unbIAsed.Rx is an innovative AI-driven platform dedicated to highlighting sex-specific adverse effects of medications. By promoting awareness of pharmaceutical disparities and advocating for equitable research practices, it aims to enhance medication safety for all.- Leveraged Pandas and NumPy for data preparation, transforming various datasets into a cohesive format for improved machine learning model predictions.- Trained and optimized regression models to identify and evaluate biases in clinical research on various drugs.- Integrated machine learning model into the website to enhance user experience and functionality.

• Oversee the finance portfolio of McGill Formula Electric and budget resources for the coming year.• Participate in design reviews to efficiently allocate funds to all the different subsystems. • Ensure monetary support from various funds and grants available for student initiatives by presenting our project to many different groups and upkeeping our design team’s professional reputation. • Successfully secured more than $100K in funding.

- Participation in machine learning summer training program for women and gender diverse people across Canada.- Study the fundamentals of machine learning to see problems in different ways.- Reinforce new skills with team-driven machine learning projects and collaborate on solutions that drive social progress.

- Specialized in metrology technologies in the Metrology and Automation department.- Launched a large-scale project for Pratt and Whitney Canada aiming to increase productivity on the engine assembly lines using new manufacturing technologies including 3D point cloud and image analysis.- Performed project de-risking with the help of proper project management tools such as risk analysis, house of quality, and manufacturing technology development procedure allowing the project to meet given deadlines.- Communicated ideas to various stakeholders allowing to gain confidence and monetary support from various departments within the company.

- Worked under the supervision of Professor Mongrain and a Master’s student on the development of a drug-eluting carbon nanotube coating for implantable medical devices.- Monitored experiments and analyzed the data to test the efficiency of carbon nanotubes to retain and release drugs.- Tested and established methods to detect the concentration of Heparin in solution to accurately monitor the release from the carbon nanotubes based on literature.- Optimized a program designed to recognize the degree of agglomeration of the carbon nanotubes based on image analysis.

- 3D modelling of the trailers using SolidWorks- Drawing and identifying measurements of the model- Writing guides to illustrate how to ship the trailers in containers- Take part in team meetings- Elaborate new designs for projects

- Identify the helicopter motor part- Enter the parts in the inventory system- Well package the parts to assure their proper conservation- Organize the storage on the shelves