Research Interests

Chemistry of Complex Mixtures

I am interested in studying the underlying chemical mechanisms governing the conversion of waste to energy. Through the design and implementation of semi-batch reactor systems, I aim to develop microkinetic models describing bio-oil formation from food and green wastes. 

Through of the use of analytical chemistry techniques such as GC-MS, GCxGC, FT-IR, FT-ICR-MS, and others, I work to obtain the most complete picture of the biocrude and aqueous phase chemical identity for further understanding and process development.

Green Chemistry & Engineering

Climate change is one of the most pressing issues in society today. The Earth's hottest summer on record ever is 2023! I believe that the application of green chemistry principles to engineering solutions is paramount to a sustainable future. Some of the key principles my research relates to are:

Transition from Batch to Flow

The future lies in continuous processes! I aim to study the transition from batch to flow due to:

Continuous systems also can be combined with in situ analytical techniques to obtain enhanced microkinetic data. My research aims to develop continuous processes with green chemistry in mind.

Heterogeneous Catalysis

I aim to understand how catalysts alter the chemical mechanism and kinetics of bio-oil and sustainable product production. I am especially interested in non-precious metal catalysts and those derived from waste materials. Catalysts can be used in both in situ and ex situ methods, changing the overall mechanism. Some catalysts I have previously explored are:

Machine Learning & Modeling

Science and engineering must adapt and utilize evolving technology. I aim to use computational models and machine learning to enhance and inform experimental work. By using large data sets to train machine learning algorithms, the number of required experiments can be reduced and enhanced reaction spaces identified. Models can be used to predict: