Event sponsored by:
Contact:
Dawn, Ariel
Speaker:
This talk will focus on what new graduates entering into industry in fields related to data science may experience as they transition from academia. Focusing on Dr. Sidle's first few years after graduate school, we will discuss the wide variety of working environments early data scientists can be faced with. This presentation highlights the unexpected parts of working in industry, including the challenges of DevOps, data engineering, and implementing explainable machine learning. Bio: Glenn Sidle earned his Ph.D. in applied mathematics with a focus in machine learning from NC State University. Prior to graduation, he had started working in industry and has continued to do so across multiple fields, including healthcare fraud detection and prevention, data security and privacy, and medical imaging.