Spencer Alexander Email & Phone Number

Redmond, Washington, US

I am a Product Manager for Machine Learning Models on the Microsoft Azure AIOps Team. We develop models and tooling to ensure reliability and quality of cloud services.

We build apps and websites for idea development and prototyping, education, exploration, and entertainment.

Veldhoven, NL

• Steered data-driven product development to satisfy customer (primarily Intel, secondarily Samsung, TSMC) needs and motivate product adoption. To do so, established roadmaps and deliverables, AI/ML models, data streams.
• Drove customer adoption of apps team product suite valued at over $300M by successfully landing software applications critical to customer success and demonstrating benefits when used with multiple ASML products in.
• Attracted over $30M in customer investments by designing software application for predicting misalignment between computer chip layers. Product achieved 50x improvement in resolution, exceeding established limits.
• Attained 10% anomaly detection increase and 5% noise reduction in regressive models used by Intel SPC engine by incorporating process issue root-cause predictors.
• Accomplished yearly benefit opportunity of $15M by developing dashboard and automated data retrieval/analysis software for modelling and visualization of machine data for failure prediction.
• Improved accessibility and scalability of key pathfinding initiative by migrating metrology big data workflows from local systems to cloud platforms, including Azure and ASML-owned HPC.

Eugene, OR, US

• Enabled angular momentum-based phase and magnetic imaging, as well as advanced electron microscope capabilities, by enhancing creation of x-ray and electron beams. Used wave mechanics and Fourier analysis to simulate.
• Optimized data analysis and research processes by coding Python repositories for image processing, physical modeling, and instrumentation control.
• Engineered microwave antennae for generation of oscillating magnetic fields through application of computational tools, such as Mathematica and COMSOL, and theoretical knowledge in circuit and transmission line theory.
• Pioneered method for acoustic wave production by engineering solid state diode and leveraging interaction of phonons with host material through light assistance.

Beaverton, OR, US

• Advanced light detection technology by driving development of quantum dot-based photodetector devices. Acquired photonics patent to facilitate imaging technology R&D by researching quantum dot applications in Si-based.
• IP generation: Successfully acquired patent by devising methodology to safeguard quantum dots from degradation.
• Lab software modernization: Enhanced efficiency of company laboratory by implementing software-based coordination system for instrumentation and replacing previous ad-hoc approaches.

• Tutored students in physics, mathematics, and chemistry in individual and group settings.

Austin, TX, US

• Studied liquid salts for use as an energy storage medium in supercapacitors.
• Fellowships: 2009-2010 Undergraduate Research Fellowship, 2009 College of Natural Sciences Summer Undergraduate Research Fellowship.

M.S., Physics, From Ph.D. Program

M.S., Applied Physics

B.S., Chemistry