Daniel Yoo

Background

About Daniel Yoo

As a globally experienced Mathematics and Biostatistics professional, I bring a unique perspective to my work in Data Science and Machine Learning, with a focus on addressing challenges in public health, with a growing interest in sustainability, climate change, and sustainable food systems. Born in South Korea, I have gained valuable experience studying and working across South Korea, Canada, the United States, France, and Denmark. My educational journey took me from the University of Alberta to Université Paris-Saclay, and I defended my PhD at Université Paris Cité under the guidance of Prof. Alexandre Loupy. Throughout my career, I have developed a strong command of R for data analysis and machine learning and Python for deep learning, continually updating my skillset through MOOCs and earning various Specializations and Professional Certificates in Data Science, Machine Learning, Deep Learning, MLOps, TinyML, GAN, and more. With three first-author publications in The Lancet Public Health, Nature Medicine, and Nature Communications, I strive to make meaningful contributions to a multidisciplinary field of study with data science and artificial intelligence.