EIRINI MALLIARAKI

ABOUT
eirinimalliaraki@gmail.com
Twitter, Linkedin, Substack

Technologist, researcher, and former founder. I build tools, programmes, and infrastructure at the intersection of AI, frontier science, and public-good innovation. I trained as a design engineer at Imperial College London and the Royal College of Art. Before that, a BSc in Finance from the Athens University of Economics and Business.  

Three preoccupations have shaped the past decade: how intelligence emerges and travels across minds, machines, and ecosystems; what infrastructure a field needs to translate knowledge into action; and what it means to build systems that regenerate rather than extract. I've pursued all three — across startups, research labs, national AI institutes, and philanthropy.

I’m based in London, and my email is always open to ethersamplers, epistemic humorists, and ungoogleable souls.

Other curiosities: Complex systems & memetic engineering · Extended cognition · Theorising entanglement · Radical social futures · New learning environments · Community praxis · The Arctic · Soulmaking Dharma · Planetarity · Post-human design · Collective imagination · The surreal · Science Roadmapping

CV
ELMAN @ DEEP SCIENCE VENTURES


ELMAN, AI INVENTOR

Product
Artificial Intelligence


2023-2024


DESCRIPTION

Elman is an agentic AI system I co-designed at Deep Science Ventures to accelerate early applied R&D. It helps venture scientists break down complex problem spaces, generate and evaluate high-utility hypotheses, and converge on strong venture concepts. Built around structured decomposition, domain heuristics, and multi-step reasoning workflows, Elman has supported the creation of more than a dozen deep-tech ventures across agriculture, climate, computing, and therapeutics.

Unlike single-shot ideation tools, Elman uses agentic scaffolding to turn broad problem areas into well-formed hypotheses, generate hundreds of candidate solution families, experimental plans, and validated translational pathways. It uses multi-step workflows that embed scientific logic, necessity/sufficiency tests, neglected-pathway scoring, and design-by-constraint. I oversaw product management, user research, UI design, roadmap development and evaluation, and secured external funding to support its growth.






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