Axoft

Materials scientist with a Ph.D. from Harvard University where he was Jia Liu's first graduate student. His dissertation research produced the soft-electronic breakthroughs — materials with mechanical properties matching brain tissue — that became Axoft's core technology. He describes his work as "making electronics as soft as the brain." His Ph.D. research demonstrated scalable neural interfaces that integrate many sensors into one implant without the stiffness-mismatch scarring seen in silicon devices. He co-founded Axoft in 2021 and received backing from The Engine, MIT's deep-tech venture fund.

Applied physicist with a B.S. in Microelectronics from Peking University and a Ph.D. in Applied Physics from Harvard, followed by postdoctoral work in Harvard's Chemistry and Chemical Biology department developing CMOS 3D multi-electrode array platforms. He then served as a Fellow in Harvard's Office of Technology Development, translating lab innovations into commercial roadmaps. At Axoft he engineered the wireless electronic subsystems that transmit neural data from Le Floch's soft implant for external analysis, covering the full signal chain from recording to cloud.

Assistant Professor of Bioengineering at Harvard's John A. Paulson School of Engineering and Applied Sciences. Received his Ph.D. from Harvard in 2014 and completed a postdoctoral fellowship at Stanford before returning to Harvard in 2019. His lab develops stretchable mesh nanoelectronics that mimic biological tissue, earning him MIT Technology Review's Innovators Under 35 recognition. He co-founded Axoft in 2021 to commercialize soft neural-interface technology from his lab, bringing a decade of work on flexible bioelectronics and brain-machine interfaces toward clinical application.