Max Wyman is a Principal Control System Applications Developer with 11 years of experience designing and automating control systems for particle accelerators and x‑ray beamlines at Argonne National Laboratory. He brings a rare combination of hands‑on experimental plasma physics (PhD) and applied machine learning/optimization skills to automate tuning tasks—from peak searches to RNNs and reinforcement learning—for complex physics experiments. Previously he managed accelerator operations at Purdue, implemented NI CompactRIO/PXI control and DAQ upgrades, and developed cryogenic pellet injectors and fast imaging systems for fusion research. Max is passionate about complex systems science, particularly energy loss mechanisms like magnetic reconnection across laboratory and astrophysical plasmas, and applies that perspective to control and diagnostics design. He is also an experienced educator who emphasizes deliberate practice and peer‑reviewed student presentation to build deep understanding.
11 years of coding experience
12 years of employment as a software developer
BS, Physics, BS, Physics at Michigan Technological University
PhD, Plasma Physics, PhD, Plasma Physics at University of Wisconsin-Madison
Contributions:22 pushes, 3 branches in 4 years 1 month
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