Work with thought leaders and academic experts in information systems management

Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.

Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.

Tim Leung is a professor of operations research and financial engineering at the University of Washington. He holds a PhD from Princeton University and a B.S. from Cornell University. He has held previous positions as an assistant professor at Columbia University and Johns Hopkins University.

Catherine Tucker is a Professor of Economics and Data Science at the Massachusetts Institute of Technology. She is also a member of the MIT Sloan School of Management's faculty. She is a world-renowned expert in the fields of big data, machine learning, and consumer behavior. She has worked extensively on the use of data science to improve public policy and has been a consultant to government agencies and businesses around the world. In addition to her academic work, she is a popular speaker and has been featured in many media outlets, including The Economist, The New York Times, The Wall Street Journal, and Wired.

David Blanchett, PhD, is Adjunct Professor of Wealth Management at The American College of Financial Services. A world-renowned thought leader in the fields of wealth management and retirement, Blanchett is a leading contributor to the Wealth Management Certified Professional® (WMCP®) designation program. In addition to his role with The College, Blanchett is the managing director and head of retirement research at QMA, a division of Prudential Financial, and formerly at Morningstar Investment Management, LLC. In his roles, Blanchett works to enhance consulting and investment services and conducts research primarily in the areas of financial planning, tax planning, annuities, and retirement. 

Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).

Dr. Abiodun (Abbey) Alao holds a Ph.D. in Information Systems from the University of Cape Town and is a dedicated researcher and teaching fellow with a strong academic background. Her passion for research is evident, and she currently serves as a research associate at the University of Johannesburg. Throughout her career, Abiodun has actively mentored and supervised projects spanning diverse fields such as Management Information Systems, Information and Communication Technology for Development, Sustainable ICT, Development Communication, Innovative Management, Health Informatics, Information Learning, and Work Integrated Learning (WIL). She has made significant contributions to academia through her publications, which include journals, chapters, and conference papers. Her approach is characterized by a multidisciplinary investigative perspective, with a focus on Information Communication Technology (ICT) as a catalyst for information and knowledge management. Her work addresses various social implications of ICT, and organization development with a particular emphasis on their impact on the well-being of individuals and society as a whole.

Dan Baack is an expert in advertising, brand management and international marketing. His academic research focuses on how differences in how consumers process information affect promotional activities. This includes investigations of creativity and advertising effectiveness, of advertising’s impact on brand image and of culture’s influence on marketing activity.

Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval

Marketing, Consumer Behavior, Luxury Goods, Counterfeits, Branding, Emotions

Computer Science, Information Systems, Information Technology