​My interests are among developing principled and practical algorithms of important machine learning paradigms in order to create robust design as well as optimization for fuels, engines, and their related simulation tools. Specifically for combustion chemistry, this can be achieved via deep learning, clustering, probabilistic modelling, pattern recognition, parallel processing, and data augmentation.

• ​Convergent Synthesis of Novel Muramyl Dipeptide Analogues: Inhibition of Porphyromonas gingivalis-Induced Pro-
  inflammatory Effects by High Doses of Muramyl Dipeptide
  B. Cai, J. Panek (Noted Contributor in Acknowledgement)
  Journal of Medicinal Chemistry 59.14, 6878-6890, (2016

• M.S.E., Johns Hopkins University, MD, U.S., 2016 (GPA 3.65/4.0)
• B.A., Boston University, MA, U.S., 2014 (GPA 3.40/4.0)

• ​2016: Product Development Intern, Pixelligent Technologies LLC, Baltimore, MD, U.S.
• 2011-2014: Undergraduate Research Assistant, Boston University Center for Molecular Discovery, Boston, MA, U.S.
• 2011-2013: IT Help Center Staff, Boston University School of Law, Boston, MA, U.S.

• ​Whiting School of Engineering ChemBE Master’s Academic Scholarship, Johns Hopkins University, MD, U.S., 2016.
• Undergraduate Research Opportunities Program Award, Boston University, MA, U.S., 2013-2014.