Chad B. serves as the Director of Data Applications at Wyvern, where he applies his extensive background in data science and deep learning. He holds a Ph.D. from the University of Calgary and has worked in various roles across multiple organizations, focusing on healthcare, climate, and clean energy sectors.
Work at Wyvern
Chad B. serves as the Director of Data Applications at Wyvern, a role he has held since 2021. In this position, he leverages his extensive background in data science and technology to enhance the company's data application strategies. His work involves integrating large and disparate data sets and applying advanced analytics to support the company's objectives in space data analytics.
Education and Expertise
Chad B. holds a Bachelor of Science (B.Sc.) from The University of Calgary, where he studied from 1991 to 1997. He furthered his education with a Master of Science (M.Sc.) from The University of Western Ontario, completed between 1997 and 1999. Chad achieved a Doctor of Philosophy (Ph.D.) from The University of Calgary from 2003 to 2008. His academic background is complemented by expertise in neural networks, deep learning techniques, and proficiency in using TensorFlow for various applications.
Background
Chad B. has a diverse professional background with experience in various roles across multiple organizations. He has worked as a Research and Development Scientist at Baker Hughes, a Technology Advisor at Boast Capital and TSGI-Chartered Accountants, and held several positions at the University of Calgary and University of Saskatchewan. His career spans over two decades, focusing on data science, technology advisory, and research.
Achievements
Throughout his career, Chad B. has contributed to numerous projects that emphasize the application of data science in various sectors. He has a strong interest in deep learning applications in healthcare, climate, and clean energy. His work in hyperspectral imaging and space data analytics showcases his commitment to innovation and interdisciplinary collaboration. Chad's expertise in predictive modeling and generative analytics further highlights his contributions to advancing data science.