Daniel J. Gomez gomez-dan

👋 Hi, I’m Daniel J. Gomez, a graduate researcher at Stanford University School of Medicine.
👀 I’m interested in exercise immunology, computational & systems cancer biology, spatial immunotherapy, precision health and evidence-based medicine.
🌱 I’m currently learning computational cancer genetics, exercise immunology, and multimodal spatial and big data omics approaches.
💞️ I’m doing research, development, and analytics in basic and translational research for multiple consortia MoTrPAC, HuBMAP, HTAN, PsychENCODE, and All of Us Researchers.
📫 How to reach me sfdanielgomez@gmail.com
😄 Pronouns: he/him/his
⚡ Fun fact: I won 1st, 2nd, 3rd place in grappling/jiu-jitsu competitions, played football, soccer, volleyball, played clarinet, saxophone, guitar, violin, and did academic research in 5 different medical schools and 1 veterinary medical college (JABSOM, JHUSOM, UCSDSOM, DUCOM, UFCVM).

My Academic profile is here for your viewing pleasure 🧭 🌎.

🗺️ My present graduate studies is in Molecular and Cellular Atlases, Spatially Resolved Transcriptomics. Single-Cell RNA Sequencing, Deep Omics Profiling in Health and Disease, AI/ML Data Science and Cloud Computing in Precision Medicine, Biomedicine, Genetics and Genomics, Multiomics, Translational Medicine, Immunology, Pathogenomics and Computational Biology.
Currently, I am doing my thesis research in exerkine mapping in preclinical models and the human body, exercise and physical activity, multiomics, interorgan communication, signal transduction networks, and building multiscale spatial atlases of interorgan crosstalk at single-cell resolution, near-single cell super-resolution, and connect cell-cell interactions with ligand-receptor interactions and their functions inside the cell that display the effect of exerkines measured in health, resilience and disease.

You can access and read my papers on Google Scholar

Research:

Precision Medicine
Exerkines and Exercise
Mechanisms that underlie the benefits of exercise (exercise science research)
Exercise Genetics, Biochemistry, Molecular Biology, and Physiology
Precision Medicine to Network Medicine
Computational biology and whole-organism models
Spatial Multi-Omics and Multiplex Imaging
Histology and histopathology (Pathogenetics and pathogenomics)
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, neighborhood coordination and proximity analysis (cellular niches/areas)
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 Therapy
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 and Nanotherapeutics discovery
Morphology and imaging (histology, whole slide imaging, multiplexing)

Future Directions 👨‍💻

- Principal Advisor/Investigator - Biomedical Data Scientist - Postdoctoral Fellow - PhD Researcher - Scientist I/II - Research Associate