Lauren Mazurkiewicz is a PhD-level biochemist and graduate research assistant at UW–Madison who specializes in quantitative proteomics, enzymology, and protein design using Orbitrap mass spectrometry. With over two years of hands-on Orbitrap experience and roughly 11 years in research roles, she designs and analyzes experiments focused on post-translational modifications and develops Python-driven statistical pipelines for MS data. She has industrial experience benchmarking mass-spec tools from a summer internship at Promega and undergraduate roots in structural immunology and antibody engineering. Beyond the bench, she manages scientific outreach for the UW–Madison Biochemistry Program, translating complex methods for broader audiences. Unusually for a bench scientist, she also contributes low-level back-end development to open-source binary instrumentation (Dyninst), adding AMDGPU support and demonstrating fluency with instruction sets and debugging. This blend of wet-lab expertise, computational analysis, and systems-level coding makes her adept at bridging experimental design with robust data and software solutions.
11 years of coding experience
Doctor of Philosophy - PhD, Biochemistry, Doctor of Philosophy - PhD, Biochemistry at University of Wisconsin-Madison
Bachelor of Science - BS, Cell/Cellular and Molecular Biology, Bachelor of Science - BS, Cell/Cellular and Molecular Biology at University of Illinois Urbana-Champaign
DyninstAPI: Tools for binary instrumentation, analysis, and modification.
Role in this project:
Back-end Developer
Contributions:110 reviews, 34 commits, 88 PRs in 2 years 8 months
Contributions summary:Lauren primarily focused on extending the DyninstAPI for analyzing AMDGPU binaries. Their contributions involved implementing initial support for AMDGPU, including adding necessary formatters, opcode tables, register definitions, and support for register vectors. They also fixed several bugs related to AMDGPU register names and control flow analysis, demonstrating a deep understanding of the instruction set architecture and debugging techniques within the context of binary instrumentation.
DyninstAPI: Tools for binary instrumentation, analysis, and modification.
Contributions:106 pushes, 15 branches in 2 years 11 months
instrumentationmodificationbinary-instrumentation
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