Skills
Computer Vision
3D Graphics
Photography
Deep Learning
GIS
Web Development
Software
Machine Learning
As the Director of Machine Learning at Surgical Data Science Collective (SDSC), a non-profit startup that is utilizing computer vision to improve surgical skills, I am passionate about applying technology to make a positive impact. With a background in computer science and expertise in machine learning, I have dedicated my career to optimizing algorithms that can automate and streamline complex processes. My work involves leading research focused on utilizing video data from surgeries to develop tools that can provide surgeons with immediate feedback and insights on their performance. This is a critical area of need, as surgical training is currently very limited and physicians often rely on feedback solely from their mentors. By creating an AI-powered platform, our vision is to help surgeons improve their skills and ultimately provide better outcomes for patients. I am excited to be part of this innovative startup and look forward to driving impact in the medical field by leveraging the power of cutting-edge technology. In the past, I have worked on developing spatially explicit models for risk assessment, computer vision models for automatic tree measurements Biome app, and generative adversarial networks for visual simulation of reforestation. My research interests include deep learning, computer vision, software engineering, product development, image processing, and the application of AI for climate and health-related issues. I have worked on several projects using deep learning for climate issues, such as deforestation detection in the Congo Basin, crop yield prediction in Senegal, and classification of facility rooftops to determine solar installation potential. I am a science writer and a strong advocate for diversity in STEM.
The Power of Computer Vision - Transforming Industries Through Intelligent Visual Perception at Clark Center Auditorium Stanford University
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Computer Vision for Neurosurgery: From Surgery to Pathology - Computer Vision for Pituitary Tumor Surgery Video analysis
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18th January 2022
Omdena: Classifying Rooftops Through Neural Networks to Eliminate Energy Waste of Facilities
Winner of the COVID-19 category of Dance Your PhD 2021 / Video filming/editing - ScienceMagazine
Project Canopy advances evidence-based policy making for the Congo Basin rainforest by providing environmental actors with the data, analytics and tools they need to end deforestation and defaunation.
"Margaux Masson-Forsythe and Praveen Kanna did a great job facilitating the project progress using deep learning and remote sensing and thus got promoted to Lead ML engineers."
Challenge to create the foundation for a highly scalable and profitable ClimateTech Startup. In 48 hours we create a startup called InfraGreen.
1 million STEM women provides visible role models & inspire the next generation of girls.
The Sunrise group goal is to educate about climate action. Currently helping write a Green New Deal for Corvallis. I am focusing on the section to expand production of renewable energy.
MS, Electrical Engineering and Computer Science - Computer Vision
Master of Science - MS: Computer Science
I was one of the speaker for the final presentation of the results from the AI challenge with Global Partnership for Sustainable Development Data. 
