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Meet the Xpo 2022 Speakers

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Daniela Saban headshot

Daniela Saban

Associate Professor of Operations, Information & Technology


Madeleine Udell

Incoming Professor of Management Science & Engineering and ICME

michaelle mayalu headshot

Michaëlle Mayalu

Assistant Professor of Mechanical Engineering

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. 

alison marsden headshot

Alison Marsden

Professor of Pediatrics (Cardiology) and of Bioengineering

Suzanne Tamang headshot

Suzanne Tamang

Incoming Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology

aaron newman headshot

Aaron Newman

Professor of Biomedical Data Science

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Olivier Gevaert

Professor of Medicine (Biomedical Informatics Research) and of Biomedical Data Science

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. 

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Ashwin Rao

Adjunct Professor in the Institute of Computational & Mathematical Engineering (ICME)

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Speaker and co-moderator

Colin Kessinger

Lecturer in the Graduate School of Business 

Blake Johnson headshot

Blake Johnson

Adjunct Professor of Management Science & Engineering

Harikesh Nair headshot

Harikesh Nair

Professor of Marketing 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. 

Gianluca Iaccarino headshot

Gianluca Iaccarino

Professor of Mechanical Engineering and Director of the Institute for Computational Mathematical Engineering

Eric Darve headshot

Eric Darve

Professor of Mechanical Engineering

Kazuhiro Terao Headshot

Kazuhiro Terao

Staff Scientist at SLAC

christiane adcock headshot

Christiane Adcock

PhD Student in ICME

Dhruv Patel headshot

Dhruv Patel

Postdoctoral Scholar in Mechanical Engineering