In response to MIT, PhD candidate Sabrina Corsetti is pioneering a brand new frontier in additive manufacturing by built-in photonics—a area that makes use of gentle, not electrical energy, to energy chip-based units.
Corsetti, a graduate pupil within the Division of Electrical Engineering and Pc Science, works in Professor Jelena Notaros’s Photonics and Electronics Analysis Group. Her staff has developed a photonic chip that permits a miniature 3D printer, sufficiently small to slot in the palm of a hand. The printer emits a reconfigurable beam of sunshine into resin, fabricating strong objects in actual time.
Such a tool might make it attainable to quickly produce personalized, low-cost parts on demand—with out cumbersome {hardware}. It’s a glimpse right into a future the place additive manufacturing is compact, environment friendly, and transportable.

Whereas built-in photonics continues to be a comparatively younger area, its affect spans from communications to sensing to next-generation computing. Corsetti’s current work contains initiatives in quantum computing and organic sensing, equivalent to a chip-based “tractor beam” that may manipulate particles like DNA utilizing gentle alone.
“Our staff has a robust deal with designing units and techniques that work together with the surroundings,” Corsetti mentioned. “The chance to affix a brand new analysis group, led by a supportive and engaged advisor, that works on initiatives with plenty of real-world impacts, is primarily what drew me to MIT.”
Initially educated in physics and math, Corsetti shifted from particle physics to chip design throughout her undergraduate years on the College of Michigan, with analysis experiences at CERN and a number of labs shaping her hands-on method.
Now, as she helps push built-in photonics towards sensible purposes in fields like quantum computing and high-performance techniques, Corsetti stays targeted on affect. “You really want accelerated computing for any trendy analysis space,” she mentioned. “It might be thrilling and rewarding to contribute to high-performance computing that may allow plenty of different fascinating analysis areas.”