Primary tabs

Jeremy Gernand

Jeremy M. Gernand

Office Address: 
121 Hosler Building
Assistant Professor of Industrial Health and Safety
  • Pulmonary toxicity and occupational risks of nanomaterials
  • Use of surrogate risk data to inform design
  • Machine learning for design and risk analysis
  • Safety and reliability of complex engineered systems
  • Effects of engineering design on public health
  • Ph.D. (Engineering and Public Policy), Carnegie Mellon University, 2013
  • M.S. (Mechanical Engineering), Rice University, 2007
  • B.S. (Mechanical Engineering), Texas A&M University, 1998
John and Willie Leone Family Department of Energy and Mineral Engineering


Jeremy Gernand joined the faculty of the John and Willie Leone Family Department of Energy and Minerals Engineering in August 2013. Following 8 years of experience as a system safety and reliability engineer for design project teams at NASA, the Department of Defense, and the U.S. Postal Service, Jeremy earned a Ph.D. in Engineering and Public Policy at Carnegie Mellon University developing methods to anticipate the toxicity risks and related occupational hazards of exposure to engineered nanomaterials. He now pursues research into improving safety and reliability risk assessment capabilities through the use of incomplete and surrogate information, and better incorporating risk analysis into the engineering design process.

  • Gernand J. “Machine Learning Classification Models for More Effective Mine Safety Inspections.” Proc. of IMECE2014. No. 38709. November 2014.
  • Gernand J., Casman E., Frady S., Houck K., Meng Q., and Wang A. “Particle Physicochemical Property and Exposure Condition Effects on Pulmonary Toxicity of Titanium Dioxide Nanoparticles: Results from a Machine-Learning-Based Meta-Analysis of Animal Studies.” In Review.
  • Gernand J. and Casman E. “Machine Learning for Nanomaterial Toxicity Risk Assessment.” IEEE Intelligent Systems–Health. 29(3): 84-88. May-June 2014. doi:10.1109/MIS.2014.48.
  • Gernand J. and Casman E. “A Meta-Analysis of Carbon Nanotube Toxicity Experiments - How Physical Dimensions and Purity Affect the Toxicity of Carbon Nanotubes.” Risk Analysis. 34(3): 583-597. March 2014. doi:10.1111/risa.12109.
  • Gernand J. and Casman E. “Selecting Nanoparticle Properties to Mitigate Risks to Workers and the Public - A Machine Learning Modeling Framework to Compare Pulmonary Toxicity Risks of Nanomaterials.” Proc. of IMECE2013. No. 62687. November 2013. doi:10.1115/IMECE2013-62687.
  • Gernand J. and Bayazitoglu Y. "Spiral Methanol to Hydrogen Micro-Reformer for Fuel Cell Applications." Heat Transfer Engineering. 30(14): 1188-1196. December 2009.doi:10.1080/01457630902975903.
  • Gernand J. “Mitigating Crew Health Degradation During Long-Term Exposure to Microgravity through Countermeasure System Implementation.” Proc. of IMECE2004. No. 59029. November 2004. doi:10.1115/IMECE2004-59029.