About This Webinar
Highly multiplexed and multivariate sensing platforms have proliferated in recent years, and data streams along with them. While optical and electronic platforms continue to advance, it is increasingly critical that data analytics approaches advance in parallel — to reduce or eliminate the time between “measure” and “act,” and to enhance the overall value of sensing systems themselves. Christopher Brown reviews several exemplary strategies for harnessing the power of advancing optical and other sensing methods by using a combination of physics- and chemistry-driven statistical learning approaches and decision theory.
***This presentation premiered during the 2022
Photonics Spectra Spectroscopy Conference. For more information on Photonics Media conferences, visit
events.photonics.com.
About the presenter:
Christopher Brown, Ph.D., is CTO of 908 Devices. He received a doctorate in chemistry from Dalhousie University in Canada, where he specialized in the development of automated, chemometric, and statistical learning methods for sensors and analytical systems. His professional career has focused on the development of smart, high-performance, miniature analytical systems across a range of industries and applications. Early in his career, Brown led teams at InLight Solutions that were developing highly automated spectroscopic products for in vivo biodiagnostics, metabolic monitoring and clinical chemistry, biometrics, and biopharmaceutical process monitoring. He joined Ahura Scientific in 2004 to work on developing the world’s first hand-held Raman spectrometer and later the world’s first hand-held Fourier transform infrared (FTIR) spectroscopy spectrometer. After Ahura was acquired by Thermo, Brown spent two years at Apple in California as a platform architect for advanced sensing technologies in the health wearables sector.
Brown co-founded 908 Devices in 2012 and became its CTO. In 2015, he led the company’s launch of the world’s first hand-held mass spectrometer, which weighed 4 lbs, followed by a range of microscale mass spectroscopy (MS) and separation products for forensics and the life sciences. He has been an active reviewer for numerous journals of chemistry, statistics, and machine learning. He is on the editorial board of the
Journal of Chemometrics. Brown holds more than 50 patents and has published more than 150 scientific papers and conference presentations.