gomez-dan / gomez-dan.github.io Goto Github PK

My website is here and this is my GitHub Portfolio.

• 🔭 My present graduate studies is in Multiomics, Genome Bioinformatics, and Computational Biology and my previous research has been in multiple areas and fields of Medicine: Tropical Medicine, Medical Microbiology, Pharmacology, Cell and Molecular Biology, Microbiology and Immunology, Structural Biology, Infectious Disease, Bioengineering, and Cancer Biology.

• Presently, I am doing my thesis research in exercise medicine, multiomics, creating interorgan spatial maps at single-cell resolution.

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 (scATACseq, 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 actviity, circuit training) working out
• Hiking, Cycling, and Climbing
• Reading, Listening to Audiobooks and Podcasts
• Music and Movies
• Astrophysics and Astrobiology exploration