Invited Talks |

Designing antimicrobials with generative AI and metagenomics

Wed, 18 Feb 2026 00:00:00 +0000

Presented on the intersection of deep learning and microbiology, demonstrating how to leverage generative AI models alongside metagenomic mining to design novel antimicrobial peptides. We explored pipelines that automate the identification of active sequences from environmental datasets, helping to address global challenges in antibiotic resistance.

Diversity of circularized phages in the environment

Tue, 27 May 2025 00:00:00 +0000

Presented our research describing the diversity and functional potential of circularized phages discovered in various environments, utilizing metagenomic assembly and annotation. Hosted by Professor Arthur Gruber at the Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo.

Multi-omic data integration for microbiome research using scikit-bio

Fri, 12 Jul 2024 00:00:00 +0000

Led the training session covering sequence analysis workflows, data structures, and algorithms within , a fundamental Python library for biological omics data. The tutorial walked participants through workflow on using protein embeddings for sequence analysis within the library.

Fine-tuning pretrained roBERTa model for optimizing relevant biomedical literature search

Tue, 27 Jul 2021 00:00:00 +0000

Presented my award-winning machine learning pipeline for the CAMDA 2021 “Literature AI for Drug Induced Liver Injury” (DILI) challenge. Discussed utilizing transformer models (RoBERTa) to automatically classify and extract liver pathology articles from large-scale PubMed datasets.