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

Some writing

Long, short and medium content around my research and some thoughts about the universe, our place in it and science as the best known tool to navigate the abyss.

Phase: towards a mathematical description of cells and tissues.
White paper postulating the nature of the problem and possible strategies to arrive at a mathematical (and computable) description of tissues and organisms, that could have pre-clinical value. Walks through the broader context of cells and cell therapies, their importance, a possible long term strategy and a concrete short term proposal to start with a minimal model for a specific well-bounded use case: cellular reprogramming for stem cell therapies.
[Coming soon] How relevant is the cellular context and how we could model it.
[Coming soon] A virtual cell would be highly valuable but the big deal is the anatomical compiler.

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.

Doing research to eventually arrive to a mathematical (and computable) description of individual cells and cellular collectives (i.e. tissues, embryos, organisms). Understanding cellular behavior in different contexts and helping to address some of the toughest diseases we face in the process (i.e. Cancer, aging-related diseases, Alzheimer's, Parkinson's)

24 –

I'm currently a visiting researcher in the developmental biology lab (Bioldes) at Uniandes.

Modeling 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?

Building 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