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Work with thought leaders and academic experts in statistics probability uncertainty

Companies can greatly benefit from working with experts in the field of Statistics, Probability and Uncertainty. These experts can provide valuable insights and analysis to help companies make data-driven decisions, optimize processes, and mitigate risks. By leveraging their expertise, companies can improve forecasting accuracy, identify patterns and trends, and develop predictive models. Whether it's optimizing marketing campaigns, improving supply chain management, or enhancing risk assessment, collaborating with Statistics, Probability and Uncertainty experts can lead to improved business outcomes and competitive advantage.

Experts on NotedSource with backgrounds in statistics probability uncertainty include Tyler Ransom, Edoardo Airoldi, Anindya Ghose, Brian Bushee, Athul Prasad, Tim Leung, Robert Gitter, Ph.D., Panos Ipeirotis, Kevin Parker, Bernd Stahl, Marian Rizov, and Marc St-Pierre.

Tyler Ransom

Norman, Oklahoma, United States of America
Associate Professor of Economics at the University of Oklahoma
Most Relevant Research Interests
Other Research Interests (17)
Economics
Labor Economics
Economics of Education
Urban Economics
Applied Microeconomics
And 12 more
About
Tyler Ransom is an associate professor of economics at the University of Oklahoma. He received his Ph.D. in economics from Duke University in 2015. His research interests include labor economics, economics of education, urban economics, and machine learning applications. He has published papers in leading journals such as the Journal of Labor Economics, the Journal of Human Resources, and the Journal of Econometrics. He is also an associate editor of the Annals of Economics and Statistics and a research affiliate of IZA and GLO. He has taught courses on econometrics, data science, and economics of education at both undergraduate and graduate levels. He has received several awards and fellowships for his research and teaching, such as the OU Dodge Family College of Arts & Sciences Irene Rothbaum Outstanding Assistant Professor Award in 2022. He is proficient in various coding languages such as Matlab, Stata, R, Julia, Bash, Git, and LaTeX. He also has advanced language skills in Japanese.

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Other Research Interests (64)
Statistics
Causal Inference
Network Science
Statistical Machine Learning
Computational Biology
And 59 more
About
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.

Anindya Ghose

Heinz Riehl Chair Professor of Business, NYU Stern
Most Relevant Research Interests
Other Research Interests (30)
Data Science
Mobile
Data Privacy
Digital Marketing
Digital Platforms
And 25 more
About
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).

Brian Bushee

Finance Professor at University of Pennsylvania
Most Relevant Research Interests
Other Research Interests (22)
Economics and Econometrics
Finance
Accounting
Pharmacology (medical)
Economics and Econometrics
And 17 more
About
Brian Bushee is the Americus Brothers Professor of Accounting at the University of Pennsylvania. He is a Visiting Scholar at the University of Michigan and a Research Associate at the National Bureau of Economic Research. His research interests include the role of accounting information in capital markets, the effect of accounting disclosures on managerial incentives and resource allocation, and the economics of professional service firms. He has been published in the Journal of Accounting and Economics, the Journal of Accounting Research, and the Review of Accounting Studies, among other journals. He has been a consultant to the Securities and Exchange Commission and the Financial Accounting Standards Board.

Athul Prasad

5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Most Relevant Research Interests
Other Research Interests (45)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 40 more
About
Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.

Tim Leung

Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program
Most Relevant Research Interests
Other Research Interests (35)
Computational Finance
Risk Management
Portfolio Optimization
ETFs
General Economics, Econometrics and Finance
And 30 more
About
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.

Robert Gitter, Ph.D.

Semi-Retired Professor of Economics teaching, doing research, and working on community projects
Most Relevant Research Interests
Other Research Interests (34)
Labor
Psychiatry and Mental health
Public Health, Environmental and Occupational Health
Health Policy
Pshychiatric Mental Health
And 29 more
About
Dr. Robert Gitter is an economist with over 45 years of experience. He has taught at Ohio Wesleyan University for over 45 years. He continues to teach Labor Economics and working on research. His publications include work on immigration, worker turnover, and studies for various nonprofits and local and state governments as well as nonprofits.

Panos Ipeirotis

Professor at New York University
Most Relevant Research Interests
Other Research Interests (38)
Crowdsourcing
Data Quality
Text Analytics using Economics
Economics and Econometrics
Applied Psychology
And 33 more
About
Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval

Kevin Parker

Comprehensive background in Computer Science, Information Systems, and IT with a PhD in MIS and a BA and MS in Computer Science. Extensive experience as an expert witness.
Most Relevant Research Interests
Other Research Interests (11)
Computer Science
Information Technology
Information Systems
Library and Information Sciences
Education
And 6 more
About
Computer Science, Information Systems, Information Technology

Bernd Stahl

Director of the Centre for Computing and Social Responsibility
Most Relevant Research Interests
Other Research Interests (71)
critical theory
information systems
computer ethics
information ethics
responsible innovation
And 66 more

Marian Rizov

Professor of Business Economics
Most Relevant Research Interests
Other Research Interests (48)
Microeconomics
Labour
IO
Agriculture
Development
And 43 more

Marc St-Pierre

Associate Professor of Economics at The University of the South
Most Relevant Research Interests
Other Research Interests (22)
Decision Making
General Equilibrium
Inequality
General Engineering
Accounting
And 17 more

Example statistics probability uncertainty projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on statistics probability uncertainty?

Optimizing Marketing Campaigns

A Statistics, Probability and Uncertainty expert can analyze customer data, identify target segments, and optimize marketing campaigns. By leveraging statistical models and predictive analytics, companies can improve customer targeting, personalize messaging, and maximize marketing ROI.

Improving Supply Chain Management

By applying statistical analysis and probability models, experts can help companies optimize inventory levels, forecast demand, and improve supply chain efficiency. This can lead to cost savings, reduced stockouts, and improved customer satisfaction.

Enhancing Risk Assessment

Statistics, Probability and Uncertainty experts can develop risk models and conduct scenario analysis to assess and mitigate risks. By quantifying uncertainties and evaluating potential outcomes, companies can make informed decisions, minimize losses, and improve risk management strategies.

Predictive Maintenance

Using statistical techniques and machine learning algorithms, experts can analyze equipment data, identify patterns, and predict maintenance needs. This proactive approach can help companies reduce downtime, optimize maintenance schedules, and extend the lifespan of assets.

Fraud Detection

Statistics, Probability and Uncertainty experts can develop fraud detection models by analyzing patterns and anomalies in transaction data. By leveraging advanced analytics and machine learning, companies can detect fraudulent activities, minimize financial losses, and protect their reputation.