(385y) Electrochemical Engineering for a Carbon-Neutral and Resource-Efficient Future

My research is devoted to creating innovative solutions for electrochemical carbon capture, with the aim of addressing pressing energy and environmental challenges. By leveraging the unique properties at the interface of immiscible electrolyte systems, I have developed devices that circumvent common limitations such as membrane cost and electrode degradation. This work has provided me with a strong foundation in system design, as well as practical experience in building and refining prototypes that can be scaled beyond the laboratory.

In my hands-on investigations, I have constructed and analyzed advanced electrochemical cells for capturing CO₂, utilizing techniques like cyclic voltammetry and Scanning Ion Conductance Microscopy to probe and optimize interfacial kinetics. My research incorporates both inorganic and organic redox mediators to enhance the efficiency of CO₂ uptake and release. Through these efforts, I have developed significant expertise in experimental electrochemistry, ensuring that my approaches are robust and adaptable to a variety of real-world settings.

A major accomplishment has been the development and validation of a comprehensive model that predicts the behavior of carbon species and electrochemical reactions within these systems. By simulating the entire operational cycle using Python, and COMSOL, I have been able to fine-tune system parameters and reduce energy consumption. This modeling work has strengthened my skills in process optimization and data-driven engineering.

Beyond direct carbon capture, I have explored electrochemical strategies for ocean alkalinity enhancement, seeking scalable pathways for atmospheric CO₂ removal and marine ecosystem support. My interdisciplinary background, spanning electrochemistry, materials science, and machine learning, has enabled me to design, simulate, and analyze these processes from both scientific and engineering perspectives. I have applied machine learning for predictive modeling, process control, and accelerated materials discovery, ensuring that these solutions are both effective and resilient across diverse applications.

Recently, I have expanded my research to include the selective electrochemical recovery of valuable metals from waste streams using electrochemical separation techniques. This work supports the circular economy by providing energy-efficient methods to extract elements such as lithium and cobalt from complex mixtures. By integrating my expertise in resource recovery with real-time monitoring and advanced data analytics, I am developing solutions that address both environmental and economic priorities.