John Enright

John Enright is an accomplished Senior Data Scientist at Corning Incorporated, where responsibilities include leading the development of AI-driven applications for material property prediction and novel material development utilizing advanced techniques such as deep learning and generative algorithms with technologies like PyTorch, Jax, and TensorFlow. Prior experience includes a role as a High Performance Computing Engineer, where guidelines for HPC environments were established to improve operational efficiency and a dashboard web application was developed for cluster monitoring and management. John also served as an Undergraduate Research Assistant at SUNY Geneseo, focusing on paleomagnetic data using thermal demagnetization techniques, and as an Exploration Geologist Intern at American Rock Salt Company LLC, applying engineering geology strategies for underground mining plans. Educational qualifications include a Master of Science in Data Sciences and Applications from the University at Buffalo and a Bachelor of Science in Geological and Earth Sciences from SUNY Geneseo.