Meet the Xpo 2022 Speakers
Incoming Professor of Management Science & Engineering and ICME
Data science and AI is impacting aspects of health care at all levels, from drug discovery and genomics, to personalized treatment planning and medical imaging, to care delivery and hospital logistics. Common challenges across this space include patient privacy and ethical concerns, data heterogeneity, obtaining adequate ground truth data for training, and the possible introduction of bias based on patient characteristics and background. We will discuss AI and data science methods and translation from across the health discovery and delivery sector.
Incoming Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology
Retail AI is the algorithmic automation of a retail business - moving inventory optimally from suppliers through distribution channels to people’s homes, setting suitable prices, making personalized recommendations within search, marketing and browse, and making one’s operations speedy, robust and low-cost. This exciting topic of Retail AI blends traditional methods from Applied Math/Operations Research with modern methods from Machine Learnings.
Lecturer in the Graduate School of Business
Physics AI refers to the use of data science methodologies in problems involving physical systems to augment laboratory experiments or simulations. Modern machine learning techniques provide opportunities in automating and accelerating science and engineering analysis, but are faced with challenges that are not common in other popular applications of AI. The session provides insights into successes and open research questions in high-energy physics, energy management in buildings and material defect characterization.
PhD Student in ICME