About Our Laboratory
Spotlight On Lab Members
- Daniel Peirano awarded NSF Veterans Research Supplement Fellowship.
- Konstantin Zamuruyev selected for second year of prestigious NIH T32 fellowship as a part of our campus trainning program.
- Prof. Mike Schivo jointly awarded the "Joan Oettinger Memorial Award" in Internal Medicine.
- Prof. Davis selected as 2016 Fellow of AIMBE.
MAY 2016 group photo (left to right): (back forth row) Seth Dike, Yuriy Zrodnikov, Yasas Rajapakse, Daniel Peirano; (middle third row) Ilya Anishchenko, Michael LeVasseur, Konstantin Zamuruyev; (middle second row) Alexandria Falcon, Sierra Spitulski; (front first row) Alexander Fung, Mitchell McCartney, Dayna Pettit, Mei Yamaguchi, Eva Borras; (front) Prof. Cristina Davis. [not pictured: Michael Schivo, Phil McGinty, Alexander Schmidt, Roy Gilboa]
Our research group's work focuses on cutting edge research on the design and implementation of analytical sensors -- especially chemical sensors. We occupy ~1,000 ft2 of dedicated laboratory space on the main University of California, Davis campus.
There exists an urgent need for sensors that can rapidly, accurately, and specifically detect extremely small concentrations of chemical and biological materials. Such technologies can make an impact on everything from public health to national defense.
Along with researchers in industry, our group is developing new sensor systems suitable for rapid diagnosis of various pulmonary diseases. Similarly, we are also applying variations on this technology for the early detection of chemical and biological agents. By drawing parallels in chemical/metabolite detection for clinical and defense applications, we can now develop "dual-use" sensors that are less expensive to bring through the development pipeline and can be applied to a wide spectrum of problems.
This core thrust in our research requires a multidisciplinary effort between biology, chemistry, mathematics, mechanical, and electrical engineering.
- non-invasive clinical diagnostic tools
- sensor system development for precision agriculture
- novel microelectromechanical (MEMS) devices
- nanotechnology manufacturing methods
- biodefense applications
- new materials for MEMS/NEMS applications
- mechanical and bioinstrumentation design
- bioinformatics and machine learning approaches for data analysis