Tuan M. Hoang Trong  Tuan M. Hoang Trong photo       

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calcium dynamics, brain/neuron modeling, cardiac myocyte modeling, GPGPU (CUDA), HPC
Thomas J. Watson Research Center, Yorktown Heights, NY USA

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Professional Associations:  Biophysical Society

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More information:  Google Scholar  |  LinkedIn  |  GMU

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Tuan M. Hoang Trong joined IBM research in 2015 as a Postdoctoral Researcher. Previously, he was an intern at IBM research in the Cardioid project during summer 2013. He completed his PhD program in Bioinformatics and Computational Biology at George Mason University, Fairfax, VA in 2014 with M. Saleet Jafri, PhD..

Tuan is interested in using computing technologies to understand the biological problems, with current emphasis on calcium signaling in cardiac myocytes and in principal neurons of the striatum in the brain. Tuan is a self-motivated person and eager to learn new technologies quickly. He has a strong experience in high performance computing, using CUDA and MPI (Fortran, C/C++).

His Ph.D. dissertation introduced a patented stochastic algorithm for simulating Markov-based process efficiently which he applied in modeling stochastic gating of ion channels (L-type calcium channel and ryanodine receptors (RyR)). Based on this technique, he has developed the stochastic cardiac myocyte model (both compartmental and 3D) that can capture the dynamics of stochastic calcium releases form 20,000+ calcium-release units which is currently being used to study different pathophysiological conditions such as Catecholaminergic polymorphic ventricular tachycardia (CPVT), and atrial fibrillation. He also involved in building a tissue model of a few tens of thousands cells to study calcium-entrained arrhythmia.

At IBM Research, he extends his works into computational neuroscience. He worked closely with James Kozloski to extend IBM's Neural Tissue Simulator (NTS), which enables, for the first time, the capability to simulate synaptic transmission at the spine level with a realistic number of spines on the neuron. Tuan is also building the model capability to study calcium dynamics in the neurons, which involve details mechanistic representation of calcium trafficking. The ongoing work is part of the larger project to study neurodegenerative diseases, such as Huntington's Disease. Also, an important part of the effort is applying the model in Quantitative Systems Pharmacology (QSP), especially those target synaptic neurotransmission.