Things I wrotethat other peopleread.

PathSymetic: Neuro-Symbolic Causal Hypothesis Generation for Mechanistic Pathway Discovery in Genomic Systems

Knowledge graphs, causal structure learning and GNNs that propose mechanistic pathway hypotheses from genomic data.

Harnessing Bioinformatics and AI for Microbiome-Targeted Discovery of Plant-Derived Therapeutics

How bioinformatics and AI can find plant compounds that work through the gut microbiome, written with my capstone team.

A Multi-Method Interpretability Framework for Probing Cognitive Processing in Deep Neural Networks across Vision and Biomedical Domains

TriggerNet, extended: Grad-CAM, RISE, FullGrad and TCAV fused to explain models across plant, medical (MedMNIST) and natural images.

TriggerNet: A Novel Explainable AI Framework for Red Palm Mite Detection and Multi-Model Comparison and Heuristic-Guided Annotation

An explainable AI framework for spotting red palm mite damage across 11 plant species, with weak supervision for labelling and a live Streamlit app.

Deep Learning-Based Classification of Plants and Detection of Red Palm Mite Infestation from Leaf Images

Classifying plant species and catching red palm mite infestation straight from leaf photos with deep learning models.

Machine Learning-Augmented Simulation of Bioethanol Production from Vegetable Waste, Lignocellulosic Biomass, and Marine Algae Using MATLAB

Kinetic models of bioethanol fermentation, sped up with machine learning, for vegetable waste, plant biomass and seaweed.

Precision Agriculture-Based Pest Detection Solutions Using AI Algorithms Simulated with Complex Logic Gates Integration and 3D Bioprinting

Benchmarks AI models for fast pest identification and imagines logic-gate decision systems and 3D-bioprinted, pest-resistant plant tissue.

Evolving Innovative Process for Bioethanol Production from Tropical Fruit Residues Integrated with Biomaterial Catalyst and Saccharomyces cerevisiae Bioagent

Turning tropical fruit waste into bioethanol with a biomaterial catalyst and yeast. My first paper and first conference talk.