Work with thought leaders and academic experts in Analytics

Companies can benefit from collaborating with an academic researcher in Analytics in several ways. These experts can provide valuable insights and help companies make data-driven decisions. They can analyze large datasets to identify patterns and trends, uncover hidden insights, and provide recommendations for improving business processes. Academic researchers can also develop predictive models and algorithms to optimize operations and enhance customer experiences. Additionally, they can assist in designing experiments and conducting research studies to test hypotheses and validate strategies. Overall, working with an Analytics researcher can help companies gain a competitive edge and achieve their business goals.

Researchers on NotedSource with backgrounds in Analytics include Jim Samuel, Mark Kovacs, PhD, FACSM Applied Sport Science, Human Performance & Wellness/Longevity Expert | Tennis, Basketball, Golf, Soccer, Nutrition, Hydration & Healthspan, Edwin Love, Michael Levin, and David Anderson.

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 / 2021Present

Axivest

CIO / 2012Present

Most Relevant Research Expertise
Analytics
Other Research Expertise (21)
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
Pharmacology (medical)
And 16 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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Mark Kovacs, PhD, FACSM Applied Sport Science, Human Performance & Wellness/Longevity Expert | Tennis, Basketball, Golf, Soccer, Nutrition, Hydration & Healthspan

28 Years Experience
MARK KOVACS Ph.D. FACSM, Applied Sport Science, Human Performance & Longevity Research Expert | Tennis, Basketball, Golf, Soccer, Nutrition, Hydration & Healthspan
Education

The University of Alabama

Ph.D., Human Performance (Exercise Physiology) / January, 2007

Auburn University

M.Ed, Exercise Physiology / January, 2004

Auburn University

B.S, Exercise Science / January, 2002

Experience

Canyon Ranch

Vice President, Health & Performance / September, 2023June, 2025

Led 11 divisions across 5 resorts and clubs focused on helping thousands of individuals live healthier longer. Member of executive leadership team reporting to CEO with full budget and P&L responsibility.

Comcast

Advisor and Mentor / January, 2022May, 2025

Comcast NBCUniversal SportsTech Accelerator looks to change the way sports are played, both on and off the field. This 12-week accelerator program will pair Comcast NBCUniversal experts along with professional sports organizations, well-known partners and brands with the next generation of entrepreneurs and startups who hope to change the world of competitive and professional sports. The goal - provide players and teams with a competitive edge built on technology and innovation. Are you in? It’s game time. Learn more at www.comcastsportstech.com

DEFY

Science And Nutrition Advisor DEFY / October, 2020August, 2024

Chief Science & Nutrition Advisor for a Leading Sport Nutrition and Human Performance Brand

Most Relevant Research Expertise
Analytics
Other Research Expertise (2)
Sport Science
Human Performance
About
A senior executive, scientist, and strategist with more than 20 years of leadership experience across health, wellness, longevity, hospitality, consumer products, professional sports, and human performance. He has held executive leadership roles within Fortune 50 companies, global wellness organizations, professional sports franchises, national governing bodies, and higher education institutions, leading multidisciplinary teams across research and development, health and wellness, longevity, performance, coaching education, technology, analytics, and operations. Throughout his career, Dr. Kovacs has been responsible for multi-million-dollar budgets, full P&L responsibilities, large-scale teams, overseeing hundreds of employees across multiple locations while driving innovation, organizational growth, operational excellence, and measurable business outcomes. His executive leadership experience includes serving as: • Vice President of Health & Performance, Canyon Ranch • Senior Director of Sport Science & Health, Cleveland Cavaliers (NBA) • Director of the Gatorade Sport Science Institute • Director of Research & Development, PepsiCo/Gatorade • Directed Coaching Education & Sport Science, United States Tennis Association • Sport Science Advisor to the NCAA Dr. Kovacs brings a rare combination of scientific expertise, business leadership, and operational management with deep experience in: • Health, wellness, and longevity strategy • Consumer health and hydration innovation • Nutrition and ingredient science • Product development and commercialization • Sport science, human performance experience at the professional and NCAA level • Technology and wearable innovation • Leadership development and organizational performance • Facility design & development Beyond his executive roles, Dr. Kovacs has advised organizations including the USTA, US Soccer, ATP, WTA, ITF, NCAA, Seattle Mariners, MLB, IMG Academy, Harvard University, Princeton University, Georgia Tech, Clemson University, University of North Carolina and numerous Collegiate athletic departments. He has also served as an advisor to emerging and established companies in nutrition, hydration, wellness, longevity, medical devices, digital health, and performance technology. His unique background includes coaching and advising some of the greatest athletes of all time. He has worked with Novak Djokovic, Aryna Sabalenka, Frances Tiafoe, Dansby Swanson, Emily Sonnett, Mallory Swanson among dozens of others across sports.

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Example Analytics projects

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

Customer Segmentation for E-commerce

An Analytics researcher can analyze customer data for an e-commerce company to identify distinct segments based on demographics, behavior, and preferences. This segmentation can help the company personalize marketing campaigns, improve product recommendations, and enhance customer experiences.

Demand Forecasting for Retail

By analyzing historical sales data and external factors like seasonality and promotions, an Analytics researcher can develop accurate demand forecasting models for a retail company. This can help the company optimize inventory management, reduce stockouts, and improve supply chain efficiency.

Fraud Detection for Financial Institutions

An Analytics researcher can develop advanced fraud detection algorithms for financial institutions by analyzing transaction data and identifying patterns indicative of fraudulent activities. This can help the institutions prevent financial losses and protect their customers from fraudulent transactions.

Predictive Maintenance for Manufacturing

By analyzing sensor data from manufacturing equipment, an Analytics researcher can develop predictive maintenance models that can identify potential equipment failures before they occur. This can help manufacturing companies reduce downtime, optimize maintenance schedules, and improve overall operational efficiency.

Churn Prediction for Telecom

An Analytics researcher can analyze customer data for a telecom company to develop churn prediction models. These models can identify customers at risk of churn and enable the company to take proactive measures to retain them, such as targeted retention offers or personalized customer engagement strategies.