gomezdj / coffee-lover Goto Github PK

My website is here and this is my GitHub Portfolio.

• 🔭 My present graduate studies is in Single-Cell Spatial Profiling, AI/ML in Precision Medicine, Genomics and Biomedicine, Genetics, Spatial Biology, Multiomics, Translational Medicine, Multiomics, Immunology, Pathogenomics and Computational Biology

• Currently, I am doing my thesis research in exercise medicine, multiomics, interorgan communication, creating interactive signaling networks that build interorgan spatial genomic maps at super-resolution, near-single-cell resolution, and single-cell resolution that display measured performance of exerkines in health, resilence and disease.

You can access read my papers on Google Scholar

Research:

• Precision Bioinformatics
• Exerkines and Exercise
• Mechanisms that underlie the benefits of exercise (exercise science research)
• Exercise Biochemistry, Molecular Biology, and Physiology
• Precision Medicine to Network Medicine
• Computational biology
• Spatial Multi-Omics and Multiplex Imaging
• Single-cell sequencing (sc/snATACseq, sc/snRNAseq, CITE-seq, etc)
• Developing analytical tools to harness both high-dimensional single-cell phenotype data and spatial info
• Spatial analysis of tissue architecture & cellular niches
• Annotating spatially resolved single-cell data by spatial cell learning
• Multi-omics multi-tissue molecular mapping (Tissue- and Organism-Wide Multi-omics)
• Molecular Bioengineering, Nanotechnology, Nanomedicine, and Cell and Gene Thereapy
• Cellular Physiology Contextualization

Technique Interests:

• Genomics and Proteomics, Metabolomics (multiomics), Structural Variations and Predictions
• Systems Biology and Applications
• Biological Modeling and Evaluation, Drug Development
• Data visualization, Data analysis, Data mining
• Biological and Disease Modeling (AI/ML/DL)
• Molecular neuroimmune-pathology, psychoneuroimmunology (PNI), neuroimmunopharmacology (NIP)
• Neurotherapeutics discovery
• Morphology and imaging (histology, whole slide imaging, all kinds of microscopy)

• Data Science and Cloud Computing of Precision Medicine
• Bioinformatics and Computational Biology Tools
• Data Analysis and Data Visualization
• Computational Genomics and Genetics
• Statistical analysis and computing
• Basic Lab & Safety (GMP, BBP, IRB)
• Cell viability assays (whole blood)
• Funcational assay development and experimental design
• Sequence analysis
• DNA isolation
• PCR (qPCR), Sequencing (Sanger, capillary, NGS), & Fragment Analysis
• Phylogenetics
• Plasmid Minipreps
• RNA isolation
• Protein Purifcation
• Protein Harvesting
• Gel Electrophoresis (DNA and Protein (SDS-PAGE))
• Protein concentration assays (e.g. Bradford assay)
• Tissue (in situ) experiments (immunohistochemistry, in situ hybridization)
• Surgical methods in whole animal (in toto) to organ isolation (ex vivo), brain tumor resection and dissections
• Machine Learning & Generative AI
• Deep Learning, Reinforcement Learning
• Processing large data sets
• Neural networks
• Data Analysis
• Big Data and Omics
• Single Cell Research and Spatial Multiomics

• Exercising (strength and functional training) (cardiovascular activity, circuit training) working out
• Hiking, Cycling, and Climbing
• Reading, Listening to Audiobooks and Podcasts
• Music and Movies
• Astrophysics and Astrobiology exploration