Caltech’s Information and Data Sciences program equips students with deep knowledge of algorithms, data structures, information theory, and machine learning. These projects focus on solving global problems using large datasets, AI models, and efficient data systems.
Design and Evaluation of Scalable Data Pipelines for Real-Time Analytics
Building a Machine Learning Model for Earthquake Prediction
Information-Theoretic Analysis of Communication in Noisy Channels
Data-Driven Forecasting of Renewable Energy Output Using Neural Networks
Ethical AI: Auditing Bias in Machine Learning Algorithms
Development of an Edge-Based IoT Analytics System
Natural Language Processing for Real-Time Disaster Response
Predictive Maintenance in Manufacturing Using Time Series Analysis
Cybersecurity Threat Detection Using Network Data Clustering
Graph-Based Recommendation Systems for Educational Platforms
Multimodal Data Fusion for Autonomous Vehicle Perception
Data Engineering Framework for Large-Scale Genomics Research
Design of an Open-Source Data Versioning System
Privacy-Preserving Analytics Using Homomorphic Encryption
AI Model Interpretability Dashboard for Healthcare Predictions
Collexa partners with Caltech students to provide expert mentoring on large-scale data systems, AI modeling, algorithm tuning, and data engineering toolkits.
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