Scott Habermehl
PhD, Applied Physics ยท Caltech
I'm an applied physicist who takes RF hardware from concept to working system: designing and fabricating the devices, integrating them with mixed-signal electronics, and writing the software that calibrates, controls, and reads them out.
During my PhD at Caltech, I led the end-to-end build of a reconfigurable network of eight nanomechanical (NEMS) oscillators. Its automated in-situ calibration sets coupling weights across 48 dB and holds up against drift and device mismatch. I also designed and measured 2–10 GHz resonator arrays for a 128-oscillator CMOS–NEMS computing chip. Now a postdoc in Michael Roukes's group, I'm applying machine learning methods (equilibrium propagation) to train these networks to learn digital logic functions and pattern recognition tasks in hardware. Computing with dynamics—both classical and quantum—promises to power the next generation of computers, and these experiments are the precursor.
I'm drawn to problems where devices, electronics, and software all have to work together, especially in quantum and analog computing. I'm always excited to talk shop or hear about new opportunities: scott@scotthabermehl.com.
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