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title: "Ethan Lamé"
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title: "Ethan Lame"
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excerpt: "Ph.D. Student, Oregon State University"
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## Biography
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Ethan Lamé is a nuclear engineering graduate student at Oregon State University, under Dr. Camille Palmer. He is currently investigating compressed sensing techniques to allow for more efficient memory usage during simulations. Prior work includes using Python to model telescope capabilities to distinguish astronomical objects of interest based on color filters & target distance.
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Ethan Lame is a nuclear engineering graduate student at Oregon State University, under Dr. Camille Palmer. He is currently investigating compressed sensing techniques to allow for more efficient memory usage during simulations. Prior work includes using Python to model telescope capabilities to distinguish astronomical objects of interest based on color filters & target distance.
<p><ahref="../members/ilham_variansyah">I. Variansyah</a>, <ahref="../members/ryan_mcclarren/">R. G. McClarren</a>, <ahref="../members/todd_palmer">T. S. Palmer</a>. (2025) Derivative Source Method for Monte Carlo Transport Calculation of Sensitivities to Material Densities and Dimensions. To appear in <em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (ANS M&C 2025).</em> Denver, CO, USA.</p>
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<p><ahref="../members/ethan_lame">E. Lamé</a>, <ahref="../members/camille_palmer">C. J. Palmer</a>, <ahref="../members/todd_palmer">T. S. Palmer</a>, <ahref="../members/ilham_variansyah">I. Variansyah</a>, <ahref="../members/ryan_mcclarren/">R. G. McClarren</a>. (2025) Post-processing Results From a Monte Carlo Neutron Transport Code Using Compressed Sensing. To appear in <em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (ANS M&C 2025).</em> Denver, CO, USA.</p>
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<p><ahref="../members/ethan_lame">E. Lame</a>, <ahref="../members/camille_palmer">C. J. Palmer</a>, <ahref="../members/todd_palmer">T. S. Palmer</a>, <ahref="../members/ilham_variansyah">I. Variansyah</a>, <ahref="../members/ryan_mcclarren/">R. G. McClarren</a>. (2025) Post-processing Results From a Monte Carlo Neutron Transport Code Using Compressed Sensing. To appear in <em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (ANS M&C 2025).</em> Denver, CO, USA.</p>
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<p><ahref="../members/joanna_morgan/">J. P. Morgan</a>, <ahref="../members/braxton_cuneo/">B. Cuneo</a>, <ahref="../members/ilham_variansyah">I. Variansyah</a>, <ahref="../members/kyle_niemeyer">K. E. Niemeyer</a>. (2025) Enabling GPU portability into the Numba-JITed Monte Carlo particle transport code MC/DC. To appear in <em>International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (ANS M&C 2025).</em> Denver, CO, USA. Preprint DOI <ahref="https://doi.org/10.48550/arXiv.2501.05440">10.48550/arXiv.2501.05440</a></p>
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<p><ahref="../members/caleb_shaw/">Caleb Shaw</a>. Advanced Monte Carlo Neutronics Methods. M.N.E. thesis. Department of Nuclear Engineering, North Carolina State University, Raleigh, NC, USA. January 2025.</p>
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<p><ahref="../members/ethan_lame">E. Lamé</a>. Compressed Sensing. M.S. Thesis. School of Nuclear Science and Engineering, Oregon State University, Corvallis, OR, USA. May 2025. <ahref="">online</a></p>
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<p><ahref="../members/ethan_lame">E. Lame</a>. Compressed Sensing. M.S. Thesis. School of Nuclear Science and Engineering, Oregon State University, Corvallis, OR, USA. May 2025. <ahref="">online</a></p>
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<p><ahref="../members/kayla_clements/">Kayla Beth Clements</a>. Uncertainty quantification and global sensitivity analysis methods for Monte Carlo radiation transport solvers. Ph.D. dissertation. School of Nuclear Science and Engineering, Oregon State University, Corvallis, OR, USA. December 2024. <ahref="https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/8910k376w">online</a></p>
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