David Yang
Investment Team at Lux Capital
San Francisco Bay Area
Overview
Work Experience
Director Board of Directors
2025 - Current
Investment Team
2024
Early-stage life sciences investments & incubations Co-founding investor, Stealth NewCo
Lux Capital is an investment firm that invests in counter-conventional, seed-stage science and technology ventures.
Co-Founder
2022
0 → 1
Latus Bio focuses on developing innovative gene therapy candidates using precision delivery to enhance the lives of patients.
Raised $54,000,000.00 from The Children's Hospital of Philadelphia, Modi Ventures, 8VC, Gaingels, Samsung Life Science Fund, DCVC Bio and Ben Franklin Technology Partners.
Investment Team
2020 - 2024
Select portfolio: Photys Tx, Dren Bio, Latus Bio, Unlearn AI, Orchestra Bio, Portal Bio, Latent Labs
8VC transform the technology infrastructure behind many industries.
Board Observer
2023 - 2024
Unlearn.AI combines AI, digital twins, and novel statistical methods to enable smaller, more efficient clinical trials.
Raised $134,850,000.00 from Wittington Ventures, Radical Ventures, DCVC Bio, DCVC, 8VC, Insight Partners, EPIC Ventures, Mubadala Capital, Necessary Ventures and Altimeter Capital.
Board Observer
2023 - 2024
Board Observer
2023 - 2024
Atomic AI is a developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery.
Raised $42,000,000.00 from Modi Ventures, Nat Friedman, Neal Khosla, Patrick David Hsu, Doug Mohr, Greylock, Factory, Not Boring, AME Cloud Ventures and Playground Global.
Board Observer
2022 - 2024
Flywheel.io is a data management and analysis platform built specifically for scientists and the researcher's workflow.
Raised $105,289,919.00 from iSelect Fund, Novalis LifeSciences, Key Fund, Beringea, 8VC, Gundersen Health System, Seraph Group, Great North Ventures, Intuitive Ventures and Invenshure.
Board Observer
2021 - 2024
Research Associate
2017 - 2020
Developed new methods for infectious disease diagnostics and surveillance. Associated publications: * HC Metsky et al. Nature Biotechnology (2022) * DS Griesemer et al. Cell (2021) * CM Ackerman and C Myhrvold et al. Nature (2020) * DK Yang et al. Machine Learning in Computational Biology (2019) * HC Metsky and KJ Siddle et al. Nature Biotechnology (2019) https://scholar.google.com/citations?user=09tlyHEAAAAJ&hl