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Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator

Dr. Qianqian Fang uses Northeastern's Discovery Cluster in his work developing GPU-accelerated optical imaging techniques.

Dr. Qianqian Fang’s research is focused on developing translational cancer imaging systems using near-infrared based diffuse optical tomography, wearable neuroimaging using fNIRS, and high performance computational methods to facilitate the development of the next-generation optical imaging techniques.

Monte Carlo eXtreme, or MCX, is a Monte Carlo photon simulator, developed by Dr. Fang and his team, for modeling light transport in 3-D turbid media. It uses graphics processing units (GPUs) to simulate many photons simultaneously, making it one of the fastest and most accurate photon modeling tools.

Qianqian Fang
Associate Professor, Bioengineering, Northeastern University College of Engineering

Research projects

Towards a Whole Brain Cellular Atlas
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Surface Behavior
Dancing Frog Genomes
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
Taming the Energy Appetite of AI Models
SEQer – Sequence Evaluation in Realtime
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Collaborative projects

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Outreach & Education Projects

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