
Postdoctoral Fellow with 4+ years in fellowship at Harvard University, Cambridge and Georgia Institute of Technology, Atlanta. Organized with research focused on bioinformatics approaches including LC-MS-based untargeted metabolomics and transcriptomics, characterization of isolated compounds, and structure-activity relationship studies amongst others. Presentations educating students, peers and superiors on research analysis. Published research findings through peer-reviewed articles and analyzed results tailoring to potential future applications. Gaining deeper insights into the workings of human biology constitutes a core motivation for me. Most recently, I have experience applying artificial intelligence to varied workflows.
Advisor: Prof. Leonardo Gobbo-Neto
• Whole organism, tissue-based, and single-cell transcriptomics.
• Biomarker Discovery.
• Drug discovery and drug development.
• Personalized and precision medicine.
• Reproductive, developmental and evolutionary adaptive mechanisms.
• Exposomics.
• Molecular mechanisms of health maintenance and disease progression.
• Prediabetes and diabetes experimentations and other in vitro and in vivo assays.
• Bioactive molecular networking.
• Marine biology.
• Systems biology.
• Natural products and metabolite structural elucidations.
• Functional and network analyses.
• PCR techniques.
• ChatBot Development and integration of Artificial Intelligence
R
Python
Sirius
Thermo Fischer's Compound Discoverer
MzMine 3
GNPS
XCMS Online
MGWAS-Explorer 20
PathBank
Fella
MetaboAnalyst
SIMCA