The Boika group has a wide range of research interests in the fields of analytical chemistry, energy applications and, most recently, machine learning / artificial intelligence. In particular, we are passionate about developing and applying techniques of single-entity electrochemistry to analysis of pathogens (bacteria), single-cell organisms (amoebas) and emerging contaminants such as microplastics. By employing the techniques of ML/AI, we are hoping to develop a new approach to electrochemical sensing that would allow highly sensitive and selective detection.
In the past, we have collaborated on an NSF-funded project aiming at developing novel ferrocene-based catholytes for redox-flow battery applications.
We are also excited about the fundamental studies of electron transfer rates in non-polar organic solvents and ionic liquids.
For up-to-date list of publications from the Boika group, please, check out Google Scholar.