My website is here and this is my GitHub Portfolio.
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π 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.
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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 biology (scATACseq, scRNAseq, snRNAseq, 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
- Computational Medicine Physiology
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
- Neuroimmune connectome, neuropathology and neuroimaging modalities (PET, fMRI BOLD, dMRI, DWI, FLAIR, DTI, PWI, MEG, HARDI, Q-balls)
- multimodal neuronavigation for neurosurgery, ie BrainLab
- Morphology and imaging (histology, live-cell, all kinds of microscopy)
Twitter: @dan_j_gomez
LinkedIn: /in/danieljgomez1/
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Data Science and Cloud Computing of Precision Medicine
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Bioinformatics and Computational Biology Tools
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Data Analysis and Data Visualization
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Computational Genomics and Genetics
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Statistical analysis and computing
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Basic Lab & Safety (GMP, BBP, IRB)
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Cell viability assays (whole blood)
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Funcational assay development and experimental design
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Sequence analysis
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DNA isolation
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PCR (qPCR), Sequencing (Sanger, capillary, NGS), & Fragment Analysis
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Phylogenetics
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Plasmid Minipreps
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RNA isolation
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Protein Purifcation
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Protein Harvesting
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Gel Electrophoresis (DNA and Protein (SDS-PAGE))
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Protein concentration assays (e.g. Bradford assay)
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Tissue (in situ) experiments (immunohistochemistry, in situ hybridization)
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Surgical methods in whole animal (in toto) to organ isolation (ex vivo), brain tumor resection and dissections
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Machine Learning & Generative AI
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Deep Learning, Reinforcement Learning
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Processing large data sets
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Neural networks
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Data Analysis
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Big Data and Omics
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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 (DJ) and Movies
- Astrophysics and Astrobiology exploration