10x Science
The AI-native platform for next-generation protein characterization.
About the Company
10x Science (YC W26) develops frontier AI models with deep memory to redefine how scientists understand and engineer biology across the life sciences, starting with drug development.
Before a drug candidate can advance to the clinic, scientists must deeply characterize the protein therapeutic to understand whether it will work. Today, that process takes months of manual, error-prone analysis. Our AI-native platform automates it, giving drug developers the confidence to advance the right candidates and stop the wrong ones early.
We are a team of three scientist-founders from Stanford, MIT, and UC Berkeley who built foundational technology in next-generation protein characterization. We are already working with multiple top-10 pharma companies and have enterprise contracts in motion. We are well-capitalized and focused on building.
Tech Stack
Our systems are written in Rust and operate in high-throughput, natively parallelized environments across Apple Silicon and NVIDIA Blackwell GPUs. We build frontier reasoning models at the intersection of neural networks, symbolic methods, and formal methods, pushing performance through quantization, memory-time training, and custom kernel design. Our models are agentic, interpretable, and built to run at the limits of the hardware. If you enjoy working at the bare metal to make that happen, you will enjoy building with us.
Founders
Previously received my B.S. in Biology from UNC-Chapel Hill. I then joined Dr. Steven Carr’s Proteomics Platform Lab at the Broad Institute of MIT and Harvard, where I developed new methods in mass spectrometry. I later became a Ph.D. student and NSF-GRFP fellow in the Department of Biology at Stanford University, where I was co-advised by Dr. Carolyn Bertozzi (2022 Nobel Laureate in Chemistry) and Dr. Or Gozani.
Chemistry postdoc and Damon Runyon Cancer Research Fellow in Prof. Carolyn Bertozzi's lab (2022 Nobel Prize in Chemistry) at Stanford University. Next-generation scientific leader in chemical biology and glycobiology with 1500+ citations & h-index 22. Received my B.S. double major in chemistry & mathematics at UC San Diego (2016) and Ph.D. in materials chemistry & analytical chemistry at the University of Wisconsin-Madison (2023).
I am a 2x YC Founder. Previously, I built AI for go-to-market teams as the 2nd hire and founding engineer at Nooks. Then, I forward deployed myself in research labs at the University of Washington, UCSF, and Stanford, where I was mentored by world-renowned scientists in analytical chemistry and cancer research. In < 1 year, I published 2 papers and won 4 national awards. Now, I'm building ultrafast AI models for drug discovery teams to characterize proteins and pharmaceutical candidates.
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