Duncan Sutherland is a materials scientist and experimental automation engineer with a PhD from Cornell and roughly two years of post-PhD experience building closed-loop autonomous experimentation for materials and formulation discovery. He has led projects that integrate robotics (Opentrons), in-line characterization (UV–vis flow cells, small-angle scattering), and Bayesian optimization to accelerate thin-film oxide and solution formulation research. At Lila Sciences he continues to translate lab-scale automation and advanced characterization into practical workflows, drawing on prior experience developing automated TEM lift-out procedures and synchrotron diffraction instrumentation. Known for bridging hands-on instrumentation and machine learning, he brings a pragmatic mix of lab engineering, data-driven decision making, and materials chemistry expertise based in Somerville, MA.
2 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Chemistry, Master of Science - MS, Chemistry at University of Oregon
Doctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at Cornell University
Open-source keyboard firmware for Atmel AVR and Arm USB families
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