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Superfluid DX - Translational Data Science for Circulating Cell Free mRNA RNA-Seq Classifier for Alzheimer's Disease
Open for Registration NDMN/IDM ONLINE- Lecture time: Friday: 17:30:00 - 18:20:00 ET
- Lab time: Monday: 17:30:00 - 19:20:00 ET
- Domain: Health
- Keywords: Alzheimer's Disease, biology, Disease Detection, Machine Learning, mRNA RNA-Seq
- Tools: Biostatistics, Python, R
- Citizenship: Open to all students
Summary
Precision Medicine Diagnostics has transitioned to multi-analyte, machine learning generated classifiers for health and disease with unique regulatory challenges requiring data simulation to model reproducibility.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Research and Development
- Keywords: Food Desert, Food Equity, Food Insecurity, Pantry dESERT, Story Map, Sustainability
- Tools: Data Analytics, Data Visualization, Python, R
- Citizenship: Open to all students
Summary
This data mine project will expand on how to illustrate the concept of a pantry desert and better define the term. This project will use census tract data to identify the areas of highest need to better allocate resources to communities most impacted by pantry deserts.
Syngenta - Predictive Product Placement using Machine Learning
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Agriculture
- Keywords: Predictive Modeling
- Tools: Predictive Models, Python, Statistics
- Citizenship: U.S. citizens and permanent residents preferred
Summary
Strategically positioning our vegetable products at Syngenta in the most suitable markets is crucial for product success. Product performance is influenced by the combination of genetics, environment, and management practices.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, AI, cyber security, High Performance Compute, Machine Learning
- Tools: GitHub, Machine Learning, Neural Network, Python, Pytorch, Tensorflow
- Citizenship: U.S. Citizens Required
Summary
This project will serve as an exploratory effort into the use of AI to conduct automated cyber anomaly detection with the use of a generative adversarial network (GAN) architecture.
- Lecture time: Tuesday: 16:30:00 - 17:20:00 ET
- Lab time: Thursday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Data Analytics, Python, Radio Frequency, Satellite, Space
- Tools: Data Analytics, GitHub, Python, R
- Citizenship: U.S. Citizens Required
Summary
Satellite constellation operators frequently experience interference to links between satellites and ground. Students will analyze data related to downlink jamming and other interference. In addition, will characterize interference and provide descriptive reports
PepsiCo - Mapping Environmental Risks
Closed for Registration- Lecture time: Friday: 10:30:00 - 11:20:00 ET
- Lab time: Monday: 09:30:00 - 11:20:00 ET
- Domain: Research and Development
- Keywords: Climate Change, Dashboard, Data Scraping, GIS, PowerBI, Predictive Analysis, Sustainability
- Tools: social listening
- Citizenship: Open to all students
Summary
Create dashboard that monitors predictions for upcoming week for: Floods, Drought, Freeze, Extreme heat, Rainwater quantity, Humidity and predictions for changes to the frequency or magnitude of weather, alerts, and local news.
Corteva - Climate Change Impact on Crop Yield
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Digital Agriculture
- Keywords: Agriculture, Climate Change, Crop Yield, Public data access, Weather Data
- Tools: Linux, Public Data Access, Python, R, Spatio-temporal analysis, Statistics
- Citizenship: Open to all students
Summary
Improve our understanding of potential climate change effects on business operations and agriculture in general.
- Lecture time: Friday: 16:30:00 - 17:20:00 ET
- Lab time: Monday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, cyber security, Data Analysis, Data Analytics, Satellite, Space
- Tools: Data Analytics, Data Management, Geospatial Data Analysis, GitHub, Open Source, Python, R
- Citizenship: U.S. Citizens Required
Summary
Report on ground infrastructure cyber-security and streamlined process/tool for data collection, storage, and analysis
Space Operations Command - Space Operations Command – US Space Force
Open for Registration ROCKIES ONLINE- Lecture time: Friday: 17:30:00 - 18:20:00 ET
- Lab time: Monday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Big Data, Weather Data
- Tools: Databases, Data Management, Data Modeling, Geolocation, Geospatial Data Analysis, Time Series Data Analysis and Forecasting
- Citizenship: U.S. Citizens Required
Summary
Space Domain Awareness (SDA) is one of the critical functions of the Space Operations Command (SpOC) of the US Space Force. SDA is the responsibility of the SpOC group known as Delta 2, the project sponsor.
- Lecture time: Thursday: 16:30:00 - 17:20:00 ET
- Lab time: Tuesday: 16:30:00 - 18:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Data Analysis, Data Analytics, Space, Weather Data
- Tools: GitHub, Python, R, Satellite Imagery
- Citizenship: U.S. Citizens Required
Summary
Investigate threats posed by space weather to satellites in LEO. Cross-correlate a variety of open-source space weather data with proprietary satellite anomaly information from Space ISAC member Satellite Operator(s).