John Reardon

John Reardon

Professor of Practice

Energy, Environmental & Chemical Engineering

  • Phone
  • Office
    Campus Box 1180


MSChE, University of New Mexico, 1996
BSME, University of New Mexico, 1992


Facilitates scale-up and commercial deployment of sustainable energy and environmental technologies developed within the department


John Reardon is passionate about entrepreneurialism in Energy, Environment & Chemical Engineering. His goal is to inspire, facilitate and participate in the start-up of new businesses that positively impact clean air, clean water and sustainable energy. He presently teaches EECE-480 (Entrepreneurial Engineering) and EECE-416 (Industrial Process Safety).

In the past, he has helped to commercialize technologies for biofuels and bioenergy and CO­2 capture. One company he founded is still active in commercializing biomass gasification with novel gas conditioning. He has also participated in the commercial development of small-modular hydrogen generators and enzyme enhanced CO2 capture. He has worked on the development of stable pyrolysis oils using quantitative hot-gas-filtration. He has also performed fundamental research on heterogeneous catalysis for hydrotreating.


John Reardon's primary research, development and commercialization interests are (1) scale-up and commercial deployment of novel grid-scale batteries to facilitate widespread deployment of solar power and renewables and (2) electrochemical reduction of biogenic CO2 (fermentation to ethanol) to make new e-fuels and bio-products that achieve significantly improved carbon footprint for the biofuel industry. He is seeking collaborations with other professors to develop and deploy novel technologies (electrochemical or other) for efficient recovery of high purity lithium from brines, sea-water, and novel battery recycling.

(2015) Professional Engineering License in the State of Missouri: PE-2015000592
(1996) Thesis Parts Fellow, Associated Western Universities (AWU)/ Sandia National Laboratories
(1988) Honorable Mention, National Mathematics Competition in Modeling: Optimal search path