Work with thought leaders and academic experts in mathematics

Companies can greatly benefit from working with experts in the field of mathematics. These researchers bring a unique set of skills and knowledge that can help solve complex problems, optimize processes, and make data-driven decisions. By collaborating with a mathematics expert, companies can improve their forecasting and predictive modeling, optimize resource allocation, develop efficient algorithms, and enhance risk management strategies. Additionally, mathematics researchers can provide valuable insights into market trends, customer behavior, and competitive analysis. Overall, partnering with a mathematics expert can give companies a competitive edge and drive innovation.

Researchers on NotedSource with backgrounds in mathematics include Jim Samuel, Jo Boaler, Edoardo Airoldi, Ryan Howell, Osaye Fadekemi, PhD, Leilani Gilpin, Tim Leung, Wesley R. Hartmann, Mengying Li, Enrico Capobianco, Panos Ipeirotis, Jiang Wang, and Bernd Stahl.

Jim Samuel

11 Years Experience

Associate Professor at Rutgers University

Education

Baruch College

PhD, Information Systems / 2007

New York, New York, United States of America

Experience

Rutgers University

Associate Professor / 2021 — Present

Axivest

CIO / 2012 — Present

Research Expertise (22)

Analytics

Artificial Intelligence

Informatics

Machine Learning

NLP NLU NLG Behavioral Finance

And 17 more

About

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.

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Jo Boaler

Palo Alto, California, United States of America

25 Years Experience

Professor of Mathematics Education, Stanford University

Education

King's College London

PhD, Mathematics Education / 1996

London

University of Liverpool

BsC, Psychology / 1985

Liverpool

Experience

Stanford University Stanford Humanities Center

Professor / 1998 — Present

Research Expertise (30)

mathematics education

About

Dr Jo Boaler is a Professor of Mathematics Education at Stanford University, and the co-founder of youcubed. Her PhD won the national award for educational research in the UK and her book: Experiencing School Mathematics won the ‘Outstanding Book of the Year’ award for education in Britain. She is an elected fellow of the Royal Society of Arts (Great Britain), and a former president of the International Organization for Women and Mathematics Education (IOWME). She is the recipient of a National Science Foundation ‘Early Career Award’ and the NCSM Kay Gilliland Equity Award (2014). She is the author of nine books and numerous research articles. Her latest book is Mathematical Mindsets: Unleashing Students’ Potential through Creative Math, Inspiring Messages and Innovative Teaching (2016), and is published by Wiley. She serves as an advisor to several Silicon Valley companies.

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Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University

Education

Università Bocconi

B.Sc., Institute for Quantitative Methods

Milano

Carnegie Mellon University

Ph.D., School of Computer Science

Pittsburgh, Pennsylvania, United States of America

Experience

Harvard University

Research Expertise (44)

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.

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Ryan Howell

San Francisco , California, United States of America

18 Years Experience

Professor of Psychology, Department of Psychology, San Francisco State University

Education

University of California, Riverside

PhD, Social / Personality Psychology Division / 2005

Riverside, California, United States of America

University of California, Riverside

MA, Social / Personality Psychology / 2002

Riverside, California, United States of America

Westmont College

BSc, Psychology / 1998

Santa Barbara, California, United States of America

Experience

San Francisco State University, Department of Psychology

Associate Professor / 2012 — Present

Research Expertise (34)

Happiness

Psychiatry and Mental health

Clinical Psychology

History and Philosophy of Science

Applied Psychology

And 29 more

About

Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.

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Osaye Fadekemi, PhD

4 Years Experience

Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling

Education

University of Johannesburg

Doctor of Philosophy, Department of Pure and Applied Mathematics / July, 2019

Auckland Park

University of KwaZulu-Natal

Master of Science, School of Mathematics, Statistics and Computer Science / March, 2015

Durban

African Institute For Mathematical Sciences Ghana

Master of Science, Mathematical Sciences / June, 2013

Biriwa

Experience

Auburn University Auburn

Visiting Asisitant Professor / August, 2019 — May, 2021

Alabama State University

Assistant Professor / June, 2021 — Present

Research Expertise (12)

Graph Theory

Network Modeling

Disease Modeling

Discrete Mathematics and Combinatorics

Theoretical Computer Science

And 7 more

About

Dr Fadekemi Janet Osaye is a mathematician whose primary research interest is in graph theory and network modeling. In particular, she is interested in distance measures in graphs and their applications to solving many real-world problems. Her interest in discrete mathematics was inspired by her research project carried out at AIMS Ghana. She has published several articles in reputable journals and has presented in several conferences across the globe. In 2019, she became the first black female to be awarded a PhD in Mathematics by the University of Johannesburg, South Africa, in its 116 years of its existence. Since June 2021, she has been an Assistant Professor of Mathematics at Alabama State University and was previously a Visiting Assistant Professor at Auburn University. She is the founder of GirlsMatics Foundation, a STEM non-governmental organisation for girls in Nigeria which was motivated by her involvement with AIMS Ghana’s outreach programs for high school students in Biriwa, Ghana. She is also the co-founder of FadNna Partners, an analytics and management firm based in Lagos, Nigeria.

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Leilani Gilpin

12 Years Experience

Assistant Professor of Computer Science - UC Santa Cruz

Education

Massachusetts Institute of Technology

Ph.D., Electrical Eng. and Computer Science / 2020

Cambridge, Massachusetts, United States of America

Stanford University

M.S., Computational and Mathematical Engineering / 2013

Stanford, California, United States of America

University of California, San Diego

B.S., Computer Science and Mathematics / 2011

San Diego, California, United States of America

Experience

UC Santa Cruz

Assistant Professor of Computer Science / 2021 — Present

Sony

AI Researcher / 2020 — 2021

Palo Alto Research Center

Technical Staff / 2011 — 2013

Research Expertise (12)

Explainable AI

Diagnostics

Anomaly Detection

Commonsense Reasoning

AI and ethics

And 7 more

About

Leilani Gilpin is an assistant professor of computer science at UC Santa Cruz. She holds a Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology and a B.S. in computer science and mathematics from the University of California, San Diego. She also has experience as an AI researcher at Sony and the Palo Alto Research Center.

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Tim Leung

15 Years Experience

Professor of Applied Mathematics, Computational Finance & Risk Management (CFRM) Program

Education

Princeton University

PhD, Operations Research & Financial Engineering

Princeton, New Jersey, United States of America

Cornell University

B.S., Operations Research & Industrial Engineering / May, 2003

Ithaca, New York, United States of America

Experience

University of Washington

Professor / 2016 — Present

Columbia University

Assistant Professor / 2011 — 2016

Johns Hopkins University

Assistant Professor / 2008 — 2011

Research Expertise (22)

Computational Finance

Risk Management

Portfolio Optimization

ETFs

Finance

And 17 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.

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Wesley R. Hartmann

The John G. McCoy-Banc One Corporation Professor of Marketing

Education

University of California, Los Angeles

PhD, Economics / 2003

Los Angeles, California, United States of America

University of California, Los Angeles

MA, Economics / 2001

Los Angeles, California, United States of America

University of California, Irvine

BA, Economics & Political Science / 1996

Irvine, California, United States of America

Experience

Graduate School of Business, Stanford University

Professor

Research Expertise (12)

Marketing

Economics and Econometrics

Business and International Management

Management Science and Operations Research

Strategy and Management

And 7 more

About

Wesley R. Hartmann is a Professor at the Graduate School of Business at Stanford University. He received his PhD in Economics from the University of California, Los Angeles in 2003, and his MA in Economics from the University of California, Los Angeles in 2001. He also holds a BA in Economics and Political Science from the University of California, Irvine.

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Mengying Li

2 Years Experience

Assistant Professor at The Hong Kong Polytechnic University

Education

University of California, San Diego

Ph.D., Mechanical Engineering / July, 2018

San Diego, California, United States of America

Experience

The Hong Kong Polytechnic University

Assistant Professor / October, 2020 — Present

Research Expertise (23)

Electrical and Electronic Engineering

Instrumentation

Renewable Energy, Sustainability and the Environment

Computer Science Applications

Control and Systems Engineering

And 18 more

About

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

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Enrico Capobianco

25 Years Experience

Expertise in network science and special interest in cancer domain. Scientific Leader, Advisor. Quant, Computational & Digital Biomedical & Health research.

Education

Stanford University

Post-doctoral Fellowship, AI, Machine & Statistical Learning, Neural Networks / 1998

Stanford, California, United States of America

University of Padua

PhD, Statistical Sciences / 1995

Padova

Experience

The Jackson Laboratory

Associate Director, Computational Systems / 2018 — 2024

Research Expertise (35)

Networks

Machine Learning

Big Data

Systems Biology & Medicine

Statistics

And 30 more

About

Enrico Capobianco is a highly experienced and accomplished expert in the fields of artificial intelligence, machine learning, and statistical learning. He holds a Post-doctoral Fellowship in AI, Machine & Statistical Learning, Neural Networks from Stanford University, which he completed in 1998. Prior to that, he received his PhD in Statistical Sciences from the University of Padua in 1995. With over 25 years of experience, Capobianco has held various positions in academia, research, and industry. Most recently, he served as the Associate Director of Computational Systems at The Jackson Laboratory, a leading non-profit research institute focused on genetics and genomics. In this role, he oversaw the development and implementation of computational systems and tools for genetic and genomic research. Throughout his career, Capobianco has published numerous articles and book chapters on topics such as machine learning, artificial intelligence, and computational biology. He has also been a keynote speaker at various international conferences and has received numerous awards and grants for his research. In addition to his professional achievements, Capobianco is known for his collaborative and innovative approach to problem-solving. He is constantly seeking new ways to apply advanced computational techniques to solve complex problems in various industries, from healthcare to finance. Overall, Enrico Capobianco is a highly respected and sought-after expert in the fields of AI, machine learning, and statistical learning. His education and experience have equipped him with the knowledge and skills to make significant contributions to the advancement of these fields.

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Panos Ipeirotis

19 Years Experience

Professor at New York University

Education

Columbia University

PhD, Computer Science / August, 2004

New York, New York, United States of America

University of Patras

Diploma in Engineering, Computer Engineering and Informatics / July, 1999

Patras

Experience

New York University Stern School of Business

Professor / September, 2004 — Present

Compass

Distinguished Scientist / April, 2019 — May, 2022

Google Inc

Visiting Scientist / February, 2013 — September, 2014

Research Expertise (25)

Crowdsourcing

Data Quality

Economics and Econometrics

Applied Psychology

Computational Theory and Mathematics

And 20 more

About

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

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Jiang Wang

26 Years Experience

Mizuho Financial Group Professor of Finance at MIT

Education

University of Pennsylvania

Ph.D., Finance / 1990

Philadelphia, Pennsylvania, United States of America

Nanjing University

BS, Physics / 1981

Nanjing

Experience

MIT

Mizuho Financial Group Professor of Finance / 2005 — Present

National Bureau of Economic Research

Research Associate / 1997 — Present

Research Expertise (7)

Economics and Econometrics

Finance

Accounting

Strategy and Management

Management Science and Operations Research

And 2 more

About

Jiang Wang is the Mizuho Financial Group Professor of Finance at MIT. He received his Ph.D. in Finance from the University of Pennsylvania in 1990 and his BS in Physics from Nanjing University in 1981. Prior to joining MIT, he was a Research Associate at the National Bureau of Economic Research. His research interests include asset pricing, market microstructure, and corporate finance.

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Bernd Stahl

36 Years Experience

Director of the Centre for Computing and Social Responsibility

Education

De Montfort University

DSc, Centre for Computing and Social Responsibility

Leicester

De Montfort University

LLM in Business Law / October, 2007

Leicester

University Witten / Herdecke

PhD, Philosophy and Economics / November, 2002

Witten

Experience

University of Nottingham

Professor of Critical Research in Technology / October, 2022 — Present

De Montfort University

Director / June, 2003 — September, 2023

University College Dublin

Lecturer in Information Systems / September, 2000 — March, 2003

Research Expertise (53)

responsible innovation

And 48 more

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Example mathematics projects

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

Optimizing Supply Chain Management

A mathematics expert can analyze supply chain data to identify bottlenecks, optimize inventory levels, and improve delivery schedules. By applying mathematical models and algorithms, companies can reduce costs, increase efficiency, and enhance customer satisfaction.

Predictive Maintenance in Manufacturing

By leveraging mathematical modeling and statistical analysis, a mathematics researcher can develop predictive maintenance models to identify potential equipment failures and schedule maintenance activities proactively. This can help companies minimize downtime, reduce maintenance costs, and improve overall equipment effectiveness.

Fraud Detection and Risk Management

Mathematics experts can develop sophisticated algorithms and statistical models to detect fraudulent activities and assess risk levels. By analyzing large datasets and identifying patterns, companies can prevent financial losses, protect customer data, and strengthen their security measures.

Optimizing Investment Portfolios

A mathematics researcher can use mathematical optimization techniques to construct optimal investment portfolios based on risk tolerance, return objectives, and market conditions. This can help companies maximize returns, minimize risks, and make informed investment decisions.

Data Analysis and Visualization

Mathematics experts can analyze complex datasets, apply statistical techniques, and create visualizations to uncover insights and patterns. This can help companies make data-driven decisions, identify market trends, and understand customer preferences.