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Merck - Natural Language Processing
Closed for Registration
  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Health
  • Keywords: Assay Optimization, Bioanalytical Assay Development, Drug Research and Development, Machine Learning, NLP, Systematic literature review
  • Tools: AWS, NLP, Python, SQL
  • Citizenship: Open to all students
Summary

***Must have NLP experience*** This project will focus on mining experimental conditions from biomedical literatures by natural language processing (NLP) to guide assay optimization for new drug candidates.

  • Lecture time: Friday: 09:30:00 - 10:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Health
  • Keywords: Covid, Forecasting, Pandemic, Prediction, Satellite Imagery, Surgery, Volume
  • Tools: Azure, Machine Learning, Power BI, Python, SQL
  • Citizenship: Open to all students
Summary

As healthcare operations move back to a normal state, hospitals and surgery centers will need to forecast volumes for planning, scheduling, and staffing purposes.

  • Lecture time: Friday: 13:30:00 - 14:20:00 ET
  • Lab time: Monday: 13:30:00 - 15:20:00 ET
  • Domain: Health
  • Keywords: Behavioral Analytics, Comparative Analysis
  • Tools: AWS, Python, SQL, SQL Server
  • Citizenship: Open to all students
Summary

Analysis of AWS Cloud and SQL Server data regarding patient usage of a portable oxygen concentrator.

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Game
  • Keywords: Data Analytics, Engagement, Games, Machine Learning, NLP, Video Games
  • Tools: Azure, Jupyter, Python, Spark
  • Citizenship: Open to all students
Summary

Understanding the holistic relationship of players to Minecraft via Twitter, Reddit, YouTube, and Twitch.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: IoT
  • Keywords: Carbon Footprint Reduction, Data Analysis, Energy Management, Sustainability
  • Tools: Azure IoT, Chirpstack, Energy Consumption, LoRa, LoRaWAN, Machine Learning, MongoDB, Power Factor, Python, R, Sustainability Considerations in the Industry
  • Citizenship: Open to all students
Summary

Identifying carbon footprint reduction opportunities

Webee - Indoor Asset Tracking
Closed for Registration
  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: IoT
  • Keywords: Asset Tracking, Data Analysis, Indoor Location, Logistics and Supply Chain, Supply Chain Industry Specifics
  • Tools: Bluetooth (+BLE), Chirpstack, Geolocation, GPS, LoRaWAN, Machine Learning, MongoDB, Python, WIFI Sniffer
  • Citizenship: Open to all students
Summary

Pinpoint the location of devices inside facilities

Webee - Health of Things
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: IoT
  • Keywords: Machine Learning, Maintenance, Manufacturing, Predictive Analysis
  • Tools: Azure IoT, Chirpstack, LoRa, LoRaWAN, Machine Learning, Manufacturing Industry Specifics, Modbus and RS485 Protocol Communication, MongoDB, Prescriptive Maintenance, Python
  • Citizenship: Open to all students
Summary

AI Algorithm to determine machine failure reasons

Merck - Biometrics
Closed for Registration
  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Health
  • Keywords: API
  • Tools: Atlassian, AWS, bitbucket, Confluence, Flask, JIRA, Python, React JS
  • Citizenship: Open to all students
Summary

Creating an automated system to collect biometric data from wearable fitness technology (i.e. garmin & fitbit) during the process of experimentation.

Merck - Lab Logistics MSDS
Closed for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Health
  • Keywords: API, Drug Research and Development
  • Tools: Appian, AWS, Confluence, JIRA, Postman, Python, SQL
  • Citizenship: Open to all students
Summary

To build an automated data processing pipeline that can draw from an external manufacturing website containing MSDS information.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Aerospace
  • Keywords: Predictive Analysis
  • Tools: Python
  • Citizenship: U.S. Citizens Required
Summary

***US Citizens ONLY*** Use health sensor data sets to train predictive models to calculate RUL of key system components.