Brian Li Email & Phone Number
Who is Brian Li? Overview
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Brian Li is listed as Chief Technology Officer at Quip Medical, based in Greater Toronto Area, Canada. AeroLeads shows a matched LinkedIn profile for Brian Li.
Brian Li previously worked as Machine Learning Developer at Deep Breathe and Computer Vision Software Developer at Deep Breathe. Brian Li holds Bachelor Of Applied Science - Basc, Biomedical/Medical Engineering from University Of Waterloo.
Email format at Quip Medical
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About Brian Li
Engineering student with research & industry experience in machine learning and data science, with particular expertise in deep learning and computer vision. Active research includes experimenting with domain-specific self-supervised learning methods for lung ultrasounds and developing a patient action recommendation system using EMR and EHR data. Passionate about leveraging cutting-edge ML to solve impactful problems!
Brian Li's current company
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Brian Li work experience
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Machine Learning Developer
- Investigated the utility of state-of-the-art (SOTA) Siamese self-supervised learning (SSL) methods (SimCLR, Barlow Twins, and VICReg) for the unsupervised pre-training of M-mode lung ultrasound images- Created specializations of SOTA SSL methods to leverage the unique qualities of the M-mode ultrasound data domain
Computer Vision Software Developer
- Designed, implemented, and evaluated neural networks for the classification of the lung sliding artefact in lung ultrasound videos- Implemented video classification architectures, including temporally distributed CNNs and inflated 3D CNNs, and image classification architectures, such as EfficientNets and MobileNets, using Tensorflow- Leveraged Tensorboard for training and evaluation metric visualization- Implemented Grad-CAM to generate feature importance heatmaps- Implemented… Show more - Designed, implemented, and evaluated neural networks for the classification of the lung sliding artefact in lung ultrasound videos- Implemented video classification architectures, including temporally distributed CNNs and inflated 3D CNNs, and image classification architectures, such as EfficientNets and MobileNets, using Tensorflow- Leveraged Tensorboard for training and evaluation metric visualization- Implemented Grad-CAM to generate feature importance heatmaps- Implemented a configurable input pipeline for lung ultrasound videos and transformed images using Tensorflow Datasets Show less
Data Science Intern
- Applied isolation forests to tabular call data to detect anomalous customer calls, helping to identify impactful improvements in call handling procedures- Experimented with feature engineering and hyperparameter searches using sklearn
Deep Learning Developer
- Prototyped various RetinaNet-based models in PyTorch, using attention condenser and standard convolutional backbones, for PCB component detection in the FICS PCB dataset- Implemented test-time augmentation, for classification and object detection tasks- Built data pipelines for object detection tasks for data stored in COCO and Pascal VOC formats, including refactoring of existing utilities and old pipelines to decrease redundancy
Data Science Intern
Design And Manufacturing Support Technician
Research Assistant
Brian Li education
Bachelor Of Applied Science - Basc, Biomedical/Medical Engineering
Education record
Master'S Degree, Systems Engineering
Frequently asked questions about Brian Li
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What company does Brian Li work for?
Brian Li works for Quip Medical.
What is Brian Li's role at Quip Medical?
Brian Li is listed as Chief Technology Officer at Quip Medical.
Where is Brian Li based?
Brian Li is based in Greater Toronto Area, Canada while working with Quip Medical.
What companies has Brian Li worked for?
Brian Li has worked for Quip Medical, Deep Breathe, Capital One, Darwinai, and University Of Waterloo.
How can I contact Brian Li?
You can use AeroLeads to view verified contact signals for Brian Li at Quip Medical, including work email, phone, and LinkedIn data when available.
What schools did Brian Li attend?
Brian Li holds Bachelor Of Applied Science - Basc, Biomedical/Medical Engineering from University Of Waterloo.
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