Control and limit battery charging on Apple Silicon MacBooks.

This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning models.

Standard tools to compare and evaluate mortality forecasting methods

A web app that statistically predicts your life expectancy based on your inherited risk factors and lifestyle choices, leveraging data from peer-reviewed literature and public databases

My current supplement stack.

A curated list of resources about the 1729 network state.

CoMoMo combines multiple mortality forecasts using different model combinations. See more from the paper here https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3823511

A curated list of awesome biohacking resources

This is the computer code corresponding to "Microbial physiology governs the oceanic distribution of dissolved organic carbon in a scenario of equal degradability"

This repository is dedicated to the development of a Program for the calculation of Circular Economy policies in input-output analysis starting from multi-regional supply-use tables

The R code and data required to replicate results from 'Coevolution of relative brain size and life expectancy in parrots'.

OakVar longevity module

The blog for the computing longevity standardization and activism project. Make software last forever, and hardware last a lifetime.

FreshByte is a project aiming to help reduce consumer-level food waste by providing households a container that can actively monitor storage conditions and predict food longevity.

Hackathon Project Contributions (2021-2023)

🖥️🕰️🏠️ The homepage for the computing longevity standards and promotion project.

Standardization to make a computer last a lifetime or longer.

Standardization to make software last forever.

We study IDL data on human mortality at extreme age. Our conclusion is that the upper limit to the human lifespan is infinite. Data, remarkably, shows no difference in mortality after age 110 between sexes, between ages, or between different lifestyles or genetic backgrounds.