Seattle, Washington, United States
Physics ● Scientific computing ● Machine learning
Papers and conference submissions [1] O. Hoidn, A. Mishra, and A. Mehta. "Physics Constrained Machine Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction", Scientific Reports, 2023; https://www.nature.com/articles/s41598-023-48351-7 [2] Hoidn, Oliver, Aashwin Ananda Mishra, and Apurva Mehta. "Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data." NeurIPS 2022, workshop on Machine Learning and the Physical Sciences; https://ml4physicalsciences.github.io/2022/files/NeurIPS_ML4PS_2022_148.pdf
AS (L5) working on applied machine learning for Prime Video.
github.com/hoidn/Reddicommend
• Data analysis tool development for a team of 10 researchers for two experiments at the Linac Coherent Light Source (LCLS). Developed distributed computing code with interactive web console for real-time analysis and visualization of x-ray spectroscopy and diffraction data using MPI, Python and C. • Monte Carlo finite-element modeling of electron transport in x-ray heated matter using Python. • Reconstruction of material structures from x-ray diffraction data using deconvolution and maximum entropy techniques in Python and Mathematica. • Hardware, firmware, and software design of a miniature high-resolution spectroscopic x-ray camera for use in x-ray science applications (C, Python, and assembly). Publications: [1] Hoidn, Holden, and Seidler, “An Improved Color Tender X-ray Camera Based on Mass-Produced Complementary Metal-Oxide-Semiconductor (CMOS) sensors” (in preparation), Review of Scientific Instruments. [2] Hoidn, Valenza, Seidler, et al. (in preparation), “Finite-T Charge Transfer in MgO Under Extreme X-ray Heating: A Crystal of Hollow Atoms”. [3] Holden, Hoidn, and Seidler, “High Resolution Benchtop X-ray Emission Spectrometer for 2 – 2.5 keV”, Review of Scientific Instruments, 2017. [4] Hoidn and Seidler (in review), “Nonlocal Heat Transport and Improved Target Design for X-ray Heating Studies at X-ray Free Electron Lasers”. [5] Hoidn and Seidler, “A disposable x-ray camera based on mass produced complementary metal-oxidesemiconductor sensors and single-board computers”, Review of Scientific Instruments, 2015. [6] Hoidn and Seidler, “Photometric study of single-shot energy-dispersive x-ray diffraction at a laser plasma facility”, Physics of Plasmas, 2014. [7] Seidler, et al., “A Laboratory-based Hard X-ray Monochromator for High-Resolution X-ray Emission Spectroscopy and X-ray Absorption Near Edge Structure Measurements”, Review of Scientific Instruments 85, 113906 (2014).