Juan Pablo Ebrath

Hi! I'm a researcher in developmental biology looking to understand information gradients and self-organizing principles in living matter using insights from mathematics, complex systems and computer science.

I'm mainly interested in: cosmology, multi-scale biological cognition and high-dimensional spaces to model complex systems.

The main question that wakes me up at night is how the universe give rise to minds:

Which are the critical transition phases that scale complexity up to self-reproducing and competent living and non-living systems.
How then these systems are able to scale cognition by collaborating towards bigger goals in different problem spaces. From single cell goals to multi-cellular intelligence (like us humans and beyond).

I founded Phase Labs to build an institution with the resources and conviction to pursue these questions over the long term (i.e. Bell Labs but without AT&T breakup in 84), and in the process develop some of the most valuable and impactful medical technologies humanity needs to thrive.

I'm also desperately interested in black hole physics: my favorite objects in the universe.

Work I've done

Here are the 5 most relevant formal experiences I've had. If you want a complete version that dates back 2019, even before, go to my LinkedIn profile. It includes fellowships and additional things.

24 –

Something new.

Research and deployment bio company understanding and engineering morphogenesis to regenerate complex anatomical structures in vivo (i.e. limb regeneration, kidney regeneration, retinal regeneration).

We are on a mission to unlock whole-body regeneration and make multicellular matter programmable.

24 –

I was a visiting researcher in the developmental biology lab (Bioldes) at Uniandes.

Modeled organogenesis and regeneration dynamics with machine learning: What are the fundamental [mathematical, algorithmic] self-organizing principles in living matter and what are the specific [molecular, mechanical, bioelectrical] mechanisms that embody them?

Built a geometric model in the dry lab to learn molecular networks (GRN and PPI) of expression in organogenesis and adapt it to generalize over pathways in regeneration, and researching the role of the vascular system (cellular response, dedifferentiation trajectories, molecular signaling + markers) in kidney regeneration in the wet lab.

Special interest in somatic bioelectrical patterns.

23 – 24

I was the Co-CTO of Bricksave after my previous startup was acquired. Led the data and ML team to build the pipelines and models to understand land, property and rent value across the US looking for the best investments.

Led the technical M&A after the acquisition.

After stepping down from my full time role, I continued as a technical advisor.

World's Top Fintechs 2023 and 2024 by CNBC and Statista.

22 – 24

I was a Co-Founder and Tech Lead of Macondo, a platform that help people to protect from devaluation and hyperinflation in emerging economies.

Led the data and ML team to build the pipelines and models to understand land and property value across the US to find the best investments.

Acquired by the UK fintech Bricksave in 2023. Serving 21,000+ users in 20+ countries.

21 – 22

I did machine learning undergrad research in academia to optimize and streamline process in critical operations like inpatient settings. Including algorithms to improve patient triaging with personalized medicine analysis.

I also did mathematical logic and theoretical computer science research.

Conclusion: researching for the right questions is magic and the coolest parts of computer science are algorithms, theories of computation and mathematical logic.

This webpage aims to be as light as possible, no frameworks, just HTML, CSS and basic JS.

Sometimes I use Twitter or LinkedIn
For some code GitHubAd astra per aspera