About the founder

I learned the model
before I built the interface.

ONQIVA grew from my first vitamin D and cancer research into an independent project connecting public data, mathematical modeling, and software people can inspect.

WORK YOU CAN TRACE

What I have done, and what is still ahead.

  1. 2023
    PEER-REVIEWED RESEARCH

    Published work on vitamin D and cancer

    I was first author of a review on vitamin D and cancer and coauthored research on vitamin-D-related mechanisms in osteosarcoma.

    First-author review ↗Osteosarcoma research ↗
  2. Research training
    LABORATORY & WRITING

    Worked with proteins and scientific data

    My research experience at the University of Miami included hands-on protein work, data analysis, and scientific writing. It gave me a concrete question to carry into computational research.

  3. 2026
    INDEPENDENT ANALYSIS

    Worked through the math, then rebuilt the model in Python

    I prepared public NHANES data and fit an exploratory Cox model among 515 adults reporting a previous cancer diagnosis. The analysis includes 35 deaths and up to 37 months of follow-up. The current vitamin D estimate is observational and uncertain.

    Inspect one result and its limits
  4. Today
    PUBLIC PROTOTYPE

    Showing the analysis beside a separate simulation

    ONQIVA puts the real-data analysis next to a fictional, rule-based testing exercise. The simulation is not trained on NHANES and is not in clinical use.

    Try the fictional workflow
  5. Next
    PROPOSED

    Invite independent review before expanding

    The next step is feedback on the cohort, model choices, and limits. A clinical pilot would need a partner, a defined protocol, appropriate data, and validation. No pilot or clinic deployment is underway.

I am an engineering student and emerging computational biomedical researcher. I graduated high school at 15 and began university young. My path included foster care, housing instability, construction work while studying, and an unresolved transcript barrier that complicated my transfer plans. I continued at Mission College and kept building research I could explain and show.

Those experiences shape why I care about access. They do not prove that a model works. The work has to stand on its data, methods, and limits.

I worked through the modeling mathematics by hand, prepared and entered the data, and then translated the reasoning into Python. Software tools help me test assumptions and compare models. I want other people to be able to inspect those choices too.

I started ONQIVA to turn published vitamin D and cancer research into an understandable computational research project. The current site is an early prototype, not a diagnostic or treatment system.

WHAT I AM ASKING FOR

Support the next experiment and challenge its assumptions.

I am seeking financial support for a staged ALS motor-neuron recovery study. A quantitative reviewer would help test whether the proposed measure adds value over a simpler snapshot. The separate NHANES analysis is also open to independent statistical and oncology review.

Read the funding case