Innovation in Semiconductor Technology for Life Sciences
Accelerating the Convergence of Waves, Bits, and Molecules
A multidisciplinary program leveraging innovation in semiconductor technology, machine learning, biochemistry, and material science towards a future of true personalized healthcare.
Vision
Pioneering research and innovation in semiconductors, biology, machine learning, and material science toward an intelligent closed-loop system of non- or minimally invasive sensors and actuators enabling personalized and periodic monitoring of biomarkers to improve healthcare and wellness.
Research Projects
Biosensing Semiconductor devices:
· Electrochemical & microfluidics
· Optoacoustic
· Magnetic
· RF
· Ultrasonic
Bioinspired sensing and processing:
· Machine learning and neuromorphic processing
· Hybrid digital twin
· Bioinspired gas sensing
Identifying the Neural Substrate of Conscious Perception:
- Transcranial ultrasound
- Artificial intelligence
- Comparative neuroanatomy