FIRE: The First-Year Innovation & Research Experience

Technology & Applied Science

Streams

Our Technology & Applied Science streams allow you to use cutting-edge techniques that involve computation, analysis, physical construction and modeling, prototyping, design and development.

robotics, machine vision, programming

Autonomous Unmanned Systems

Dr. Nitin Sanket

FIRE Faculty Leader

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machine learning, programming, big data, modeling & simulations, high performance computing

Capital One Machine Learning

Dr. Raymond Tu

FIRE Faculty Leader

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machine learning, programming, atmospheric science, data analysis, big data

Cloud Computing

Dr. Alexandra Jones

FIRE Faculty Leader

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genomics, high performance computing, programming, machine learning, bioinformatics

Computational Biology

Dr. Jonathan Goodson

FIRE Faculty Leader

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particle physics, high-performance computing, programming, data analysis, modeling & simulation

Simulating Particle Detection

Dr. Muge Karagoz

FIRE Faculty Leader

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