About

Adrian Lemaigre is a highly skilled Machine Learning and Artificial Intelligence Engineer with a strong background in Mathematics and Computer Science. He is currently working as a Machine Learning Engineer/Software developer at Codex Health, Inc. where he is responsible for developing and implementing machine learning algorithms to improve the company's products and services. Adrian has gained extensive experience in the field of Machine Learning and Artificial Intelligence through his work at Vave Health, where he built a pipeline to reconstruct 3D organic structures using 2D ultrasound images and accelerometer/gyroscope tracking. He also setup multiple algorithms to automatically estimate the ejection fraction of the left ventricle, trained Convolutional Neural Networks (U-Net) to segment the left ventricle from 2D apical views, and implemented multiple post-processing filters to denoise ultrasound images on GPU. Additionally, he trained and implemented a Neural Network to classify the common ultrasound views in a phone app for both iPhone and Android. Adrian's experience also includes working on a 9-month long capstone project with three other MEng students at UC Berkeley Coleman Fung Institute for Engineering Leadership in partnership with UCSF. The project involved predicting the occurrence of Psoriasis (PsO) and Psoriatic Arthritis (PsA) based on phenotype and genotype data. Adrian was responsible for extracting highly correlated nucleotides from a dataset of 1.5 million nucleotides and 86,000 patients using Principal Component Analysis and Genome Wide Association Study. He also trained a Machine Learning model to predict the occurrence of PsA in an individual who has already contracted PsO with a test AUC of 0.72 using algorithms such as Neural Networks and Random Forests. Adrian has a Master of Engineering degree in Industrial Engineering and Operations Research from the University of California, Berkeley and a Master of Science in Engineering degree in Mathematics and Computer Science from Ecole Nationale des Ponts et Chaussées. He also holds a Baccalauréat degree in Filière Scientifique (Spécialité Mathématiques), Option Orientale from École Alsacienne. Adrian's technical skills include ML, Software Engineering, Neural Networks, Android, Keras, and Python. With 4.78 years of relevant experience, Adrian is a highly motivated and skilled Machine Learning and Artificial Intelligence Engineer who is passionate about leveraging his skills to solve complex problems and drive innovation.