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Merck - NLP on Protein Sequences
Open for Registration
  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Database, NLP
  • Tools: AWS, Confluence, JIRA, Python
  • Citizenship: Open to all students
Summary

Students will compare different NLP models and their generated protein sequence vectors (for possible empirical/statistical correlations to performance and stability metrics relevant to biopharmaceutical development). Vectors would then be organized into a structured database.

Merck - Computational Digital Team
Open for Registration
  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: Chemical Engineering Modeling, Data Visualization
  • Tools: Dash, Python
  • Citizenship: Open to all students
Summary

The scope of the project is to develop a general Dash app interface where the user can import any Python code, define the number of input parameters and generate output parameters and graphs.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Government
  • Keywords: Linear Algebra, Neural Networks
  • Tools: Python, Pytorch
  • Citizenship: U.S. Citizens Required
Summary

Customs and Border Protection is tasked with detecting and interdicting contraband before it enters the United States. PNNL assists CBP in that mission by developing and deploying cutting edge computer vision algorithms for non- intrusive inspection systems.

Merck - LabLogs MSDS
Open for Registration
  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Pharmaceutical
  • Keywords: API, Cloud, Drug Research and Development
  • Tools: AWS, JIRA, Postman, Python, SQL
  • Citizenship: Open to all students
Summary

Developing a platform that is capable of parsing information to apply NLP techniques to tabulate and summarize key notations in the form of a report. The goal of this project is to build an automated data processing pipeline can draw from an external manufacturing websites.

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Aerospace
  • Keywords: elasticity, High Performance Compute, Kubernetes
  • Tools: AWS, Azure, Docker
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

This project partners with Lockheed Martin Space to explore containerization at scale of the Volta Player with Kubernetes. It also explores the cost/benefit trade-off of leveraging elastic cloud resources versus HPC to perform MDO analysis.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Athletics
  • Keywords: Database, sports analytics, Web Apps
  • Tools: Dash, Docker, JavaScript, Python, SQL
  • Citizenship: Open to all students
Summary

We are in search of an efficient and visually stimulating way to store profile information for our student athletes. Ideally, building an app or a system that can be interactive for different departments i.e. sports medicine, strength and conditioning, sports coaches, NFL scouts.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Athletics
  • Keywords: Performance Analytics, Profiling Athletes
  • Tools: Python, R, Tableau
  • Citizenship: Open to all students
Summary

Create an Understanding of outcomes based on individual profiles and trends from training data. Identifying metrics most impactful on performance and reporting through tableau that can be utilized in the Apollo AMS system.

  • Lecture time: Monday: 11:30:00 - 12:20:00 ET
  • Lab time: Friday: 11:30:00 - 13:20:00 ET
  • Domain: Athletics
  • Keywords: Pricing, Stadium Mapping, Ticket Sales, Ticket Usage
  • Tools: Dash, Plotly, Python
  • Citizenship: Open to all students
Summary

The 23-24 projects will finalize current projects with live events to include populating the Ross-Ade stadium map with ticket sales data and game day scan data from both static files and auto generated .iqy files.

  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: University
  • Keywords: Data Cleaning, Factor Analysis, Student Experience
  • Tools: Python, R, Statistical Modeling
  • Citizenship: Open to all students
Summary

Student Life researches how students learn and grow at Purdue.  Departments in Student Life study the impact they are having, and we want you to help us find what goes into a Purdue student feeling of belongingness and come up with solutions that will positively impact Purdue.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Geospatial Analysis, Web Apps
  • Tools: Python, REST APIs, Snowflake, Streamlit
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Using location data related to addresses, fields, and fuel tanks, the goal is to build a web app that allows Co-Alliance employees to identify what accounts are linked to each other. The long-term goal is to integrate APIs to send grouping back to internal systems.