Title: development of microfluidic devices, sensors, and actuators that can interface with existing analytical tools and new computational techniques to solve problems in human biology, medicine, and environmental toxicology.

I have been working at the interfaces between physics, engineering, biology, physiology, and medicine for over fifty years. I have authored or coauthored over 270 peer-reviewed journal publications, review articles, and book chapters, and have over 50 issued patents. My early work focused on magnetic measurements of cardiac and neural activity. This led to research that established the foundation for the current understanding of the mechanisms responsible for cardiac defibrillation. A parallel effort examined the use of superconducting magnetometers for non-destructive testing, particularly the detection of corrosion in aging aircraft. Twenty five years ago I decided to focus on the use of microfluidics to advance our understanding of a breadth of cellular processes and pathologies. Since then, several themes have been interwoven into my research.

1. The design, fabrication, and validation of multichannel microbioreactors, sensors, and actuators for optimizing the production of bio-pharmaceuticals and biochemicals by Chinese hamster ovary (CHO) cells, yeast, and microbes.

2. Development of intelligent well plates that serve as perfusion controllers, microclinical analyzers, and microformulators, with the goal of scaling up and automating labor-intensive and time-consuming cell culture protocols.

3. Using advanced customized instrumentation and mathematical models to address important questions in systems biology, particularly organs-on-chips, stem cell differentiation, suspension cell culture, and to optimize automated systems for combined experimental control and inference of quantitative metabolic and signaling models that better span the spatiotemporal scales of systems biology.

4. Merging multichannel microfluidic pumps and valves, sensors, mass spectrometry, computational systems biology models, and artificial intelligence / machine learning to support the creation and operation of self-driving biological laboratories, also known as robot scientists.

Our scientific and engineering contributions are the result of a deep commitment to transdisciplinary communication and collaboration. We seek partners interested in any aspect of this work, ranging from basic science to development of commercial instruments and services.