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Work with thought leaders and academic experts in statistics probability

Companies can greatly benefit from working with experts in the field of Statistics and Probability. These professionals can provide valuable insights and analysis to enhance decision-making processes, optimize business operations, and improve overall performance. By leveraging their expertise, companies can gain a competitive edge, identify trends and patterns, mitigate risks, and make data-driven decisions. Whether it's developing predictive models, conducting statistical analysis, or designing experiments, collaborating with a Statistics and Probability expert can lead to improved efficiency, increased accuracy, and better strategic planning. With their advanced knowledge and skills, these researchers can help companies unlock the full potential of their data and drive innovation.

Experts on NotedSource with backgrounds in statistics probability include Tyler Ransom, Edoardo Airoldi, Jeffrey Townsend, Ping Luo, Athul Prasad, Anindya Ghose, Tim Leung, Lea-Rachel Kosnik, Panos Ipeirotis, Robert Gitter, Ph.D., Christophe Schinckus, Marian Rizov, Ernesto Lowy, and John Joe.

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.

Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Other Research Interests (79)
Statistics
cancer genetics
disease modeling
antibiotic resistance
Evolutionary Genomics
And 74 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.

Ping Luo

Postdoctoral Researcher at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Interests
Other Research Interests (27)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 22 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.

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.

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).

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.

Lea-Rachel Kosnik

Professor of Economics, University of Missouri-St. Louis, a leading expert on hydropower regulation in the U.S., and other energy and environmental issues
Most Relevant Research Interests
Other Research Interests (42)
Environmental Economics
Energy Economics
Environmental Justice
Text/Content Analysis
Public & Regulatory Economics
And 37 more
About
Lea-Rachel Kosnik is a Professor of Economics at the University of Missouri-St. Louis. She received her BA and MA from the University of Michigan, Ann Arbor, and her PhD from the University of California, Los Angeles. Her research focuses on renewable energy and climate change, and she is considered a leading expert on the topic of hydroelectric energy generation in the U.S., and hydropower regulation by the Federal Energy Regulatory Commission. In recent years her research has expanded to include analyses of the academic economics profession itself, including with a focus on gender issues and DEI initiatives. Methodologically, her skill set includes textual analysis and natural language processing, along with traditional econometric techniques. In 2016 she received an honorable mention for article of the year from *Contemporary Economic Policy*, and in 2022 she gave the keynote address to the Illinois Economics Association. Dr. Kosnik is perhaps best known (in a service capacity) as the Association of Environmental and Resource Economist’s (AERE’s) Midwest representative, annually organizing the full track of AERE-sponsored environmental sessions at the Midwest Economic Association meetings. Dr. Kosnik has also served as President, Past-President, and Board Member of the Transportation and Public Utilities Group (TPUG), and as a Department Chair.

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

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.

Christophe Schinckus

Professor & Dean of Faculty of Business and Computing - University of the Fraser Valley, Canada
Most Relevant Research Interests
Other Research Interests (79)
Finance
Blockchain
Econophysics
General Economics, Econometrics and Finance
General Business, Management and Accounting
And 74 more

Marian Rizov

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

Ernesto Lowy

Senior Bioinformatician specialised in Cancer Genomics
Most Relevant Research Interests
Other Research Interests (29)
Data analysis
Data science
Bioinformatics
Genomics
Multidisciplinary
And 24 more

John Joe

Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Most Relevant Research Interests
Other Research Interests (74)
microbiology
systems biology
genetics
quantum biology
Genetics
And 69 more

Example statistics probability projects

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

Optimizing Marketing Campaigns

A Statistics and Probability expert can analyze marketing data to identify the most effective strategies, target the right audience, and optimize marketing campaigns. By leveraging statistical models and techniques, companies can improve customer segmentation, personalize marketing messages, and maximize return on investment.

Forecasting Demand

Accurate demand forecasting is crucial for inventory management and production planning. A Statistics and Probability researcher can develop forecasting models based on historical data, market trends, and external factors. This can help companies optimize inventory levels, reduce costs, and meet customer demand more efficiently.

Risk Assessment and Management

Companies face various risks, such as financial risks, operational risks, and market risks. Statistics and Probability experts can analyze data, identify potential risks, and develop risk management strategies. By quantifying and mitigating risks, companies can make informed decisions, protect their assets, and ensure long-term sustainability.

Quality Control and Process Improvement

Statistics and Probability researchers can help companies improve product quality and optimize manufacturing processes. By analyzing data from production lines, they can identify bottlenecks, detect defects, and implement statistical process control techniques. This can lead to reduced waste, increased efficiency, and enhanced customer satisfaction.

Fraud Detection and Prevention

Fraudulent activities can have a significant impact on businesses. Statistics and Probability experts can develop algorithms and models to detect anomalies, identify potential fraud patterns, and implement fraud prevention measures. By leveraging advanced statistical techniques, companies can minimize financial losses and protect their assets.