Research
Peer-reviewed work in underwater instrumentation and applied machine learning.
Designing in-situ optical instruments to study ecology of aquatic ecosystems.
As an oceanographer by training, I specialize in end-to-end development of underwater optical systems. These tools span custom underwater optics, embedded camera systems, and image-processing pipelines that cover various fields of aquatic research — ranging from zooplankton ecology to flow measurements with particle tracking.
Leveraging AI and computer vision to advance chemical and biomedical research.
Extending beyond marine environments, I apply my expertise in artificial intelligence and image processing to solve complex, cross-disciplinary challenges. My technical contributions range from designing transformer–DNN hybrid models that predict antiviral activity from molecular SMILES strings, to engineering automated image analysis pipelines that quantify cellular metabolism in adipose tissue.
