AminoChain | Icebreaker

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AminoChain | Icebreaker

AminoChain

AminoChain

A bio-sample marketplace that connects biobanks and clinical sites with bio-pharma companies. AminoChain is in private beta; contact to join the pilot.

10 members

a16z

VC-Funded

Contact info

Link

aminochain.io

Members

Maximilian Mathews

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⌨️ github.com/MaximilianFullStack

Meghana Chamarty

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Computer Science and Molecular Biophysics & Biochemistry @ Yale University

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Came from running an medical imaging facility to venture capital and corporate innovation. Now running strategy into new verticals for Lazarus AI. If you have a heavy paper based process or need to making meaningful sense with data to automate tasks please reach out. Our AI models can automate any tasks without the need of training via API.

Daniele Wolf Ph.D.

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I’m a neuroscientist with a PhD from Université de Montréal, and I thrive at the intersection of science and business. With a strong background in preclinical and clinical research, I transitioned into business development, where I turn scientific ideas into market successes. I have a proven track record in project management, clinical operations, human biospecimen management, regulatory compliance, and stakeholder engagement. I’m passionate about bridging gaps in healthcare, advocating for sex- and gender-based differences, and integrating innovative technologies like decentralized biobanking and blockchain solutions.

Yanis Tazi, PhD, MBA

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I’m the Founding Principal ML Engineer at AminoChain, driving next-generation Agentic AI solutions to revolutionize how biospecimens are discovered, tracked, and utilized. By combining GenAI and data science within a decentralized healthcare marketplace, I’m helping to bring transparency, traceability, and efficiency to research institutions, biorepositories, and healthcare providers worldwide. I hold a PhD from the Tri-Institutional Program (Cornell, Rockefeller, and Memorial Sloan Kettering) and an MBA from NYU Stern. Previously at Johnson & Johnson, I developed AI models and Agentic solutions to uncover novel biomarkers for personalized medicine and accelerate discovery for clinical programs. I’ve also held Data Science roles at Memorial Sloan Kettering Cancer Center, Roivant Sciences, and worked in Trading at Société Générale. My background spans computational biology, drug discovery, e-commerce, and finance—complemented by a global outlook gained from living in six countries and fluency in four languages. Every day, I’m driven by the goal of harnessing AI to enhance patient outcomes, accelerate scientific discovery, and transform the future of healthcare.

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I am a product-focused software engineer with a passion for helping emerging and scaling businesses turn challenges into elegant, modern solutions. I specialize in working with companies at the early stages, from crafting MVPs to building scalable platforms that drive growth. My enthusiasm for front-end design and user experience drives me to create intuitive, visually compelling solutions that resonate with users and support business success.

Jelani Clarke Ph.D.

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Scientific background: As a neuroimmunologist by training, my experience in the biotech industry include successfully developing an IPSC platform for the modeling of CNS disease states via the manipulation of human stem and non-stem cell culture lines as well as the designing and implementation of lineage and disease state characterization assays including genetic (qRT-PCR, Immunocytochemistry, Western Blot) and physiological (ELISA, JC10) markers. Specialties: Cell Culture | Assay Development | Mitochondrial membrane potential Assays (JC10) | Western Blotting | Immunocytochemistry | ELISA | Flow Cytometry | qRT-PCR | Data Analysis | Functional Assays | Web3 background: My responsibilities as a core at DeSciWorld, a project operating in the decentralized science (DeSci) space, include overseeing the generation of media content, business development, and coordinating business-to-business, business-to-science, and DAO-to-DAO relations. My colleagues know me for my hard work ethic, problem solving, can-do attitude, and willingness to help others in need.

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Scientist looking to use computation to solve interesting problems. Hungry for knowledge, ETL aficionado, strong-spoken proponent for Pandas to make a functional append method.

Andrii Lytvynov

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Giuditta Schapira

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