Directions

Use the Companies tab to view all projects by company

Use the Search tab to search for projects by domain, keywords, and meeting time


Click on individual projects to view more information including project descriptions from corporate partners

Elanco - Knowledge Graphs Biomedical Discovery
Open for Registration NDMN/IDM
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Animal Health
  • Keywords: Biomedical Science, Drug Research and Development, Neural Networks
  • Tools: Excel, Knowledge graphs, Machine Learning, Python
  • Citizenship: Open to all students
Summary

Explore knowledge graphs, use computational approaches, and support target identification, prioritization, and validation. Identify and prioritize targets for animal diseases, discover evidence for targets and infer new indications for a drug or find new potential treatments.

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Health
  • Keywords: Clinical Trials, Data Analytics, Data Visualization, Graph Analysis, Statistics
  • Tools: Data Analytics, Power BI, R, Statistics
  • Citizenship: Open to all students
Summary

Cook Research Incorporated (CRI, West Lafayette, IN) is a research company that is part of Cook Medical. This project intends to design and implement a system that monitors and presents clinical trial operational data (meta-data) to help direct resource utilization.

FSSA - Indiana 211 and the Bureau of Developmental Disabilities Services
Closed for Registration DEAFPODS Students Only
  • Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Health
  • Keywords: Tableau, Visualizations
  • Tools: Accessibility, Data Cleansing, Data Exploration, Python, R, Tableau
  • Citizenship: U.S. Citizens Required
Summary

**In-Person ONLY** This project allows for flexibility and encourage students to work at their own pace, cohort participants will create their own deliverable project plan: Deliverable 1 - Data Visualization Dashboard Deliverable 2 - Infographic Executive Summary

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 08:30:00 - 10:20:00 ET
  • Domain: Aerospace
  • Keywords: cyber security, Data Analysis, Data Analytics, Data Cleaning, Data Exploration, Data Scraping
  • Tools: Artificial Intelligence, Data Cleansing, Data Exploration, Machine Learning
  • Citizenship: U.S. Citizens Required
Summary

Work collaboratively with Air Force Academy from Colorado Springs and Lockheed Martin on this project that investigates cyber security threats across the web. Work on a team to create a white paper and, as time allows, a proof of concept software design. This is a virtual team.

  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Supply Chain
  • Keywords: Demand and Supply Planning, Forecasting, Predictive Analysis, Statistical Analysis
  • Tools: Data Analytics, Machine Learning, Statistical Modeling
  • Citizenship: Open to all students
Summary

Cisco is exploring a 2-stage hierarchical modeling approach to forecast the demand for its 10,000+ products The idea is to improve forecast accuracy at the two levels independently, and hence improve the PLID level forecast accuracy and reduce systematic bias.

HUMN Capital - Business Intelligence
Open for Registration
  • Lecture time: Monday: 15:30:00 - 16:20:00 ET
  • Lab time: Friday: 15:30:00 - 17:20:00 ET
  • Domain: Technology
  • Keywords: Accessibility, Business Intelligence, Data Analytics, Data Visualization, entrepreneurship
  • Tools: Python, R, SQL
  • Citizenship: Open to all students
Summary

The team will provide analysis to senior leaders on employee engagement, predicting employee attrition, identifying high performers, and identifying opportunities for management development. ​

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Research and Development
  • Keywords: Data Integration across Studies, Data Processing, Product Comparison, Statistical Analysis
  • Tools: Programming, R, R Shiny, SAS, Statistical Network Meta-Analysis
  • Citizenship: Open to all students
Summary

P&G uses performance tests to compare new prototypes with products on the market. It is of interest to compare all product pairs accounting for study-to-study variability, and pooling information across products repeated in multiple studies.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Supply Chain
  • Keywords: Business, Market Trends, Predictive Analysis
  • Tools: Anomaly Identification, Data Analytics
  • Citizenship: Open to all students
Summary

1) Improving the stream selection & ensemble algorithm 2) Developing a forecast calibration approach to ensure a stream selected based on historical performance is creating a forecast consistent with the history of the data and streams prior predictions.

  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Energy
  • Keywords: LangChain, Large Language Models, Machine Learning, Neural Networks, NLP, Nuclear Energy
  • Tools: GitHub, Hugging Face, Python
  • Citizenship: Open to all students
Summary

We intend to develop a chatbot using open source LangChain components. The tool will interact conversationally and generate proposals based on natural language prompts from the from the user. The model will be fine-tuned with nuclear energy domain know

  • Lecture time: Friday: 09:30:00 - 10:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Agile, Lean Framework, Pharmaceutical, PowerBI, Tulip
  • Tools: App Creation & Design, Data Analytics, Power BI, Tulip
  • Citizenship: Open to all students
Summary

AstraZeneca currently has business need to advance digital tools within Tulip and PowerBi. Students will be expected to build Tulip/PowerBi apps from creation to implementation and enhance the current standard work instructions for creating apps.