Dustin Mcintosh is a Staff Data Scientist in San Francisco with 11 years of experience translating noisy, high-dimensional measurements into actionable insight across academia and industry. He holds a Ph.D. in Physics and built a research career publishing 12 peer-reviewed papers on stochastic, single-cell and polymer biophysics before transitioning to product-focused data science roles at Google and Waymo. At Google he was the primary data scientist for Small Business Ads Analytics, managing analysts and driving product improvements; at Waymo he applies those quantitative skills to large-scale, real-world datasets. Dustin combines rigorous experimental signal-processing and image-analysis experience with practical machine-learning and mentoring chops, having led teams, supervised students, and taught courses. He’s particularly skilled at designing reproducible analysis pipelines for massive datasets (100s of GB) and uncovering subtle physical effects from noisy signals—an edge he brings to data-rich product problems.
11 years of coding experience
12 years of employment as a software developer
Bachelor's Degree, Engineering Physics, Bachelor's Degree, Engineering Physics at Colorado School of Mines
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of California, Santa Barbara
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