---
name: "EvoJump"
description: "Proficient in stochastic modeling and advanced statistical analysis for evolutionary biology, utilizing frameworks like EvoJump to derive insights from complex biological data."
tags: ["active inference", "evolutionary-transitions", "evojump", "active-inference", "major-transitions", "phenotypic-complexity"]
---

# EvoJump: Stochastic Modeling of Evolutionary Ontogenetic Trajectories

**Daniel A. Friedman** (2025) · Active Inference

## Instructions

Use this skill when working with topics related to **evolutionary transitions, EvoJump, Active Inference, major transitions**.

When applying this skill:
1. Model evolutionary transitions using Active Inference
1. Analyze major transitions in biological complexity through FEP

## Key Concepts

- **evolutionary transitions**
- **EvoJump**
- **Active Inference**
- **major transitions**
- **phenotypic complexity**
- **Free Energy Principle**

## Methods & Techniques

- Utilization of stochastic process modeling techniques, including Ornstein-Uhlenbeck and Cox-Ingersoll-Ross processes.
- Implementation of wavelet analysis for multi-scale temporal patterns.
- Application of copula methods for analyzing trait dependencies.
- Use of Bayesian inference for parameter estimation and model validation.

## Key Findings

- Demonstrated the effectiveness of the EvoJump framework in modeling complex evolutionary trajectories.
- Identified long-range temporal dependencies in evolutionary processes.
- Provided evidence of selective sweeps and genetic hitchhiking in Drosophila populations.
- Validated the framework through extensive simulations and statistical methods.

## Prerequisites

- Probability theory and Bayesian inference basics
- Free Energy Principle and generative models

## 🎯 Consulting & Tutoring

[Daniel Ari Friedman, PhD](https://danielarifriedman.com/) is available for AI Research Consulting and Tutoring related to this skill.

## Related Skills

See [BIBLIOGRAPHY.md](../../pages/BIBLIOGRAPHY.md) for the complete publication catalog and related papers.