Matthew A. Lanham
Business, Management and Accounting · Purdue University West Lafayette
Publications
19
Citations
5
Est. group size
—
Recurring co-author estimate
Active years
16
Publishing since 2010
Matthew A. Lanham works on applied data analytics and machine learning for business problems, including marketing, retail, logistics, sports, and finance. His work often involves building practical tools and case studies, such as recommender systems, dynamic pricing models, demand forecasting, and more recently applications of large language models for marketing and financial data extraction. This research is generally aimed at solving concrete organizational problems using statistical and AI methods.
Publications were absent in the earlier part of the decade but picked up from 2021 onward, with active but uneven output continuing through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Harnessing LLMs to Build an Autonomous Marketing Agent
Communications in computer and information science · 2025
- Enhancing Financial Analysis with Generative AI: Utilizing Large Language Models for Efficient Data Extraction
Communications in computer and information science · 2025
- Generating Culturally Appropriate Avatars
Communications in computer and information science · 2025
- Optimization of Loading Operations and Palletized Goods
2023
- Language Agnostic Readability Assessments
2023
- Unstructured Data Analytics to Improve Digital Eligibility of E-Commerce Listings
2023
- Using Statistical and Forecasting Methods to Predict Arrival of Container Shipments
2023
- Made-to-Order: Targeted Marketing in Fast-Food Using Collaborative Filtering
2023
- Exploring the Trade-Off between Privacy and Predictive Power in Synthetic Data Generation
2023
- Clustering algorithms to increase fairness in collegiate wrestling
Journal of Quantitative Analysis in Sports · 2022
- A Holistic Analytics Approach for Determining Effective Promotional Product Groupings
Transactions on computational science and computational intelligence · 2021
- A Personalized Recommender System Using Real-Time Search Data Integrated with Historical Data
Transactions on computational science and computational intelligence · 2021
- Dynamic Pricing for Sports Tickets
Transactions on computational science and computational intelligence · 2021
- Logistic Regression: A Step by Step Solution Using Microsoft Excel
SSRN Electronic Journal · 2021
- Improving Physician Decision-Making and Patient Outcomes Using Analytics: ACase Study with the World’s Leading Knee Replacement Surgeon
Transactions on computational science and computational intelligence · 2021
- Transactions on computational science and computational intelligence×5
- Communications in computer and information science×3
- SSRN Electronic Journal×1
- Journal of Quantitative Analysis in Sports×1
- Ting Zhu
Business, Management and Accounting · Purdue University West Lafayette
- Carson Reeling
Business, Management and Accounting · Purdue University West Lafayette
- Shibo Li
Business, Management and Accounting · Indiana University
- John Holden
Business, Management and Accounting · Indiana University
- Fei Gao
Business, Management and Accounting · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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