I am an experienced researcher with over 5 years of expertise in scientific modeling, signal processing, and machine learning. I am proficient in programming languages such as Python and C++. I am a professional in FEA software such as Abaqus and Ansys. My expertise also includes building machine learning models and data pipelines to solve complex physics problems. I have a strong track record of publishing 10+ peer-reviewed articles in top-tier journals.
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Machine Learning EngineerWestern DigitalMilpitas, Ca, Us -
Staff Simulation EngineerWestern Digital Jul 2023 - Present• Machine Learning (CNN)• Design optimization• Thermomechanical Simulations
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Graduate Research AssistantUniversity Of Wyoming Aug 2018 - Jun 2023• Developed fast inversion tomography (FIT) algorithm in image reconstruction using ultrasonic sensor signals.• Developed CNN, physics-informed neural networks for defect localization.• Developed a deep learning algorithm for human brain clot detection.• Accelerate the image reconstruction speed by 50x. -
Packaging Simulation EngineerWestern Digital May 2022 - Aug 2022Milpitas, California, United States• Machine Learning• Finite Element Analysis (FEA) • Thermomechanical Simulations• Packaging Design
Min Lin Education Details
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Mechanical Engineering
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Solid Mechanics -
Engineering Mechanics
Frequently Asked Questions about Min Lin
What company does Min Lin work for?
Min Lin works for Western Digital
What is Min Lin's role at the current company?
Min Lin's current role is Machine Learning Engineer.
What schools did Min Lin attend?
Min Lin attended University Of Wyoming, Wuhan University, Wuhan University.
Who are Min Lin's colleagues?
Min Lin's colleagues are Harjivanjeet Singh, Noor Mohamed, Michell Chiranont, Mohammad Bin Abdullah, Rob Meyer, Mehdi Habibollahzadeh, Rachelle Habaña.
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