AJ is a PhD candidate in Electrical Engineering at Stanford University in the Chichilnisky Lab working on brain-computer interfaces for vision restoration. A recipient of the NSF Graduate Research Fellowship, his research focuses on developing algorithms to modulate neural populations at single-cell and single-spike resolution. AJ earned BS degrees in Electrical Engineering and Computer Science from New Mexico State University and an MS degree in Electrical Engineering from Stanford University. Outside of work, he enjoys training for long course triathlons and backpacking.
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What is a healthcare advancement you hope to see in your lifetime?

I hope to see a world where brain-computer interfaces provide personalized therapies for neurological and psychiatric conditions. By targeting individual neural circuits with precision, these technologies could move beyond the limitations of broad pharmacological treatments to restore function and improve quality of life for people with safer, more effective care.

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What excites you most about working with ARTIS?

What excites me most is the alignment between ARTIS' mission and my own passion for advancing technology in service of human health. I'm looking forward to contributing alongside a team that is deeply committed to advancing innovation at the intersection of technology, biology & health.
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From your perspective, what recent innovation has had the greatest impact in tech/health?

In my view, the most impactful innovation has to be AI. Whether it's accelerating drug discovery, enabling new medical technologies, or turning complex health information into actionable insights, AI is reshaping how we care for people.