I have a great aptitude for self-learning and self-improvement. I have taught myself C++, Python, software architecture design, digital signal processing, image processing, machine learning, and numerical optimization techniques. I am very excited about machine learning and image processing and striving especially to increase my expertise in those areas.
My physics background includes internships at the Fermi National Accelerator Laboratory, the Princeton Plasma Physics Laboratory and Sandia National Laboratories. My academic knowledge includes quantum mechanics, statistical mechanics, electrodynamics, optics, quantum field theory, group theory, calculus, differential equations, and linear algebra. My graduate work was in computational physics including working with various numerical techniques for approximately solving quantum many-body systems.
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