Zack Scholl is a Principal Analytics Business Intelligence Engineer and founder with 22 years of experience bridging scientific research, embedded hardware, and full-stack software. He holds a PhD in computational biology and brings deep expertise in single-molecule biophysics, instrumentation, and synchronized acquisition software, paired with production engineering in Go, Python, and JS. Zack has shipped dozens of open-source projects used worldwide—including high-precision indoor positioning (schollz/find3) and music-focused systems like norns—and runs a profitable hardware synth business selling to 60+ countries. At Providence he translates complex clinical and operational needs into scalable analytics, dashboards, and governed data architectures, while his entrepreneurial work spans PCB design, firmware, and hands-on manufacturing. He’s equally at home prototyping zero-to-one products for medtech and designing musical ecosystems, and he tinkers with electronic music, drone radio stations, and ceramics in his spare time. This blend of rigorous academic training, practical product delivery, and creative instrument building makes him a versatile engineer who seeks niche problems with tangible impact.
22 years of coding experience
9 years of employment as a software developer
2 Bachelor's degrees (1) Physics (2) Applied Computational Math Sciences, 2 Bachelor's degrees (1) Physics (2) Applied Computational Math Sciences at University of Washington
Doctor of Philosophy (PhD) Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy (PhD) Biomathematics Bioinformatics and Computational Biology at Duke University
High-precision indoor positioning framework for most wifi-enabled devices.
Role in this project:
Back-end Developer
Contributions:15 releases, 409 commits, 35 PRs in 4 years 7 months
Contributions summary:Zack appears to be primarily focused on developing the back-end logic for the "find" project. Their commits showcase the creation and modification of core components within the `libraries` directory, including modules for analysis, machine learning database interaction (`mldatabase`), and handling prior probabilities (`posteriors`). The user also worked on the server-side implementation by modifying the server's configuration and core routing.
High-precision indoor positioning framework, version 3.
Role in this project:
Back-end Developer
Contributions:5 releases, 591 commits, 28 PRs in 2 years 7 months
Contributions summary:Zack's commits primarily focus on the implementation of backend database functionality within the `schollz/find3` repository, a high-precision indoor positioning framework. The user added database initialization and locking mechanisms using SQLite3 and go-flock, demonstrating an understanding of data persistence and concurrency. Their work involved defining data models, setting up API endpoints, and the addition of tests, signifying the development of core backend components.
positiongarminbluetoothmotiongps-tracker
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