Building methods for nanopore sequencing raw signal analysis: methylation detection, error correction, and assembly. This work includes RawMod, a modification-agnostic classifier that detects DNA modifications without requiring a control sample. RawMod won the Best Poster Award at HiTSeq, ISMB 2026.
Developing a computer vision classification model to identify the social behaviors of cichlid fish. I lead a team of 11 students in the Gemstone Honors Program under the mentorship of Dr. Abhinav Shrivastava in collaboration with Dr. Scott Juntti.
Developing a deep learning method to identify and localize complex structural variation in cancer genomes.
Analyzing the basis of Bt pesticide resistance and copy number variation in Helicoverpa zea. This work includes analyzing WGS short read data, structural bioinformatics, and benchmarking short read SV callers with the Molloy Lab.
Building ODE models to study temporal adaptation and allelic variation in host–pathogen coevolution.
Engineered and deployed a bacterial genome-processing pipeline supporting vaccine R&D surveillance efforts, and developed an unsupervised learning approach to identify non-typeable Haemophilus influenzae cell-type clusters.
Applied plant breeding methods to generate improved strawberry cultivars emphasizing disease resistance, and deployed computer vision models for real-time detection of diseased plants and stray animals using autonomous robots.
Main contributor. All tools are actively under development.