Emma Nordstorm

ISEF Special Award Winner | National STEM Champion

Emma Nordstorm

ISEF Special Award Winner | National STEM Champion

Bio

Bio

With four years of dedicated research experience, Emma Nordstorm has achieved remarkable success in integrating machine learning with healthcare applications. Her innovative projects include developing machine learning models to detect pulmonary abnormalities and skin cancer, which she transformed into a functional Android app. Emma's exceptional contributions have earned her prestigious awards, including an ISEF Special Award, National STEM Champion title, and recognition at multiple science expositions. As a mentor, Emma brings a wealth of expertise in machine learning, app development, and health technology.

With four years of dedicated research experience, Emma Nordstorm has achieved remarkable success in integrating machine learning with healthcare applications. Her innovative projects include developing machine learning models to detect pulmonary abnormalities and skin cancer, which she transformed into a functional Android app. Emma's exceptional contributions have earned her prestigious awards, including an ISEF Special Award, National STEM Champion title, and recognition at multiple science expositions. As a mentor, Emma brings a wealth of expertise in machine learning, app development, and health technology.

Fields Of Specialty

Fields Of Specialty

Health Technology

Health Technology

Machine Learning

Machine Learning

App Development

App Development

App Development

Machine Learning

Health Technology

Past Projects

Past Projects

DermaSkan: Using Convolutional Neural Networks to Detect and Prevent Skin Cancer in Underrepresented Communities Using an Android App

Developed a machine learning model to detect Basal Cell Carcinoma, Squamous Cell Carcinoma, Melanoma, and Benign Keratosis-Like Lesions, which was then integrated into an Android App that was coded from scratch.

Jan 2022 - Present

DermaSkan: Using Convolutional Neural Networks to Detect and Prevent Skin Cancer in Underrepresented Communities Using an Android App

Developed a machine learning model to detect Basal Cell Carcinoma, Squamous Cell Carcinoma, Melanoma, and Benign Keratosis-Like Lesions, which was then integrated into an Android App that was coded from scratch.

Jan 2022 - Present

Identifying Pulmonary Abnormalities Using Machine Learning

Created a machine learning model to identify Non-Small Cell lung cancer, COVID-19 pneumonia, and healthy lungs.

Nov 2020 - Mar 2021

Identifying Pulmonary Abnormalities Using Machine Learning

Created a machine learning model to identify Non-Small Cell lung cancer, COVID-19 pneumonia, and healthy lungs.

Nov 2020 - Mar 2021