Alexandre B. Email & Phone Number

Remote

Remote

• Engineer end-to-end deep learning computer vision pipelines with pytorch, tensorflow, and keras:
• Train, optimize, and deploy deep learning models to leverage clinical data and images
• Fine tune models performance through data pre-processing, data augmentation, and hyperparameter tuning
• Create clean, maintainable, and re-usable code through object-oriented approaches, version control, documentation, testing, and packaging
• Collaborate with software team to implement, test, and deploy model in production
• Document work, results, and validation testing for FDA submission and knowledge transferIncrease people’s awareness about data science projects and challenges:

Remote

• Lead, organize, and document system-level verification and validation activities for an MRI-guided ultrasound prostate ablation system following standards ISO 13485 and ISO 14971
• Deploy and maintain company-wide automated data processing modules to streamline post-treatment analysis and generate reports for customers
• Create Python modules to parse technical data, organize raw files, and compile treatment performance results
• Interpret and navigate clinical data, logs, and SQL databases to investigate product failures and improve customer satisfaction
• Generate and maintain DHF: product requirements, system specifications, verification and validation plans, procedures, reports, and traceability matrices
• Collaborate with software team to deploy fault-correction algorithms and features in production to improve customer experience. Participate in design reviews with mechanical, electrical, and software teams

Montreal, Canada Area

• Wrote Matlab and Python code for medical image processing (reconstruction and segmentation)
• Managed and coordinated medical imaging project with clinicians, radiologists, veterinarians, and MR physicists
• Collected multimodal data (3D images, time-series, biophysical features) and built models from automated drug delivery system
• Segmented and analyzed anatomical images to extract physiological and geometrical features of arteries
• Mentored two master’s students, one PhD student, and two medical fellows

Montreal, Canada

• Proposed and implemented a drug-delivery system to target liver cancer under MRI scanner guidance
• Managed and lead a 4-year project involving teams of engineers, clinicians and veterinarians to completion
• Simulated and characterized magnetic particles behavior in blood flow for drug-delivery system
• Developed Matlab scripts to model temperature evolution of MRI scanner and magnetic particles trajectories

General Electric, GE Global Research, Niskayuna, New York

• Worked closely with team of research scientists and manufacturing engineers to study electromechanical interactions in MRI scanners
• Integrated multidisciplinary results and data to solve complex problems
• Solved technical challenges using creativity and critical thinking

Doctor Of Philosophy (Phd), Biomedical Engineering

GPA: 3.91/4 Thesis title : "Multi-bifurcation navigation of ferromagnetic carriers using an magnetic resonance imaging scanner".

Research Master'S Degree, Engineering Physics

Magna cum laude (A) Master's thesis title : "Simulation and design of a untethered micro-biosensor for in vivo pH measurements"

Master, Engineering Physics, Mention Très Bien (Équivalent : A*)

Six mois à partir de septembre 2010 Formation en anglais.

Master, Engineering Physics, Mention Très Bien (Équivalent : A*)

De février à juin 2009. Formation uniquement en anglais.

Master, Engineering Physics, Mention Très Bien (Équivalent : A*)

De septembre à février 2008

Master'S Degree, Engineering Physics

Summa cum laude (A+)

Bachelor'S Degree, Engineering Physics/Applied Physics