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World IP Day 2026 — Recognized Innovator

Daphne Koller

Hero statement: Recognized for founder-led innovation at the intersection of machine learning and drug discovery. Also an MacArthur Fellow, Stanford professor, and Coursera co-founder, she built insitro around a clear conviction: AI can change drug discovery when it is paired with the right biological data.

Certificate of Recognition

Top IP Innovator — AI-Enabled Drug Discovery · 2026

insitro Patents (last 5 years)
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First Filing
2018
USPTO Art Unit Focus
2668 / 2676
Role
Founder & CEO
Presented by InspireIP

World IP Day Recognition Series · 2026

insitro patents, last 5 years
0 +
Filed in 2023 alone
0 +
Recognition category
0 Comms
The Recognition

Building the AI engine behind a different kind of drug company

On World IP Day 2026, InspireIP recognizes Daphne Koller, founder and CEO of insitro, for building one of the most active patent programs at the intersection of artificial intelligence and biopharma.

The recognition is based on insitro’s patent activity. The company’s filings protect technologies behind its AI-enabled drug discovery platform, including cellular phenotyping, genotype-phenotype association, image-based gene function analysis, and computational chemistry.

Daphne’s path to drug discovery is unusual. She earned her PhD in computer science from Stanford University, later became a Stanford professor, and helped shape modern machine learning through her work in probabilistic models. She also co-founded Coursera, bringing advanced education to millions of learners.

With Insitro, she brought that same systems-level thinking into biology. The idea was not simply to apply AI to existing drug discovery. It was to build better biological datasets, connect them to machine learning, and use that system to find therapeutic targets with stronger human relevance.

That work now supports insitro’s programs across neuroscience, metabolism, oncology, and other areas where biology is complex, data-heavy, and difficult to model with traditional discovery methods alone.

In 2025, she was named to the inaugural Forbes 250: America’s Greatest Innovators list alongside Marc Andreessen, Jensen Huang, Reid Hoffman, Jennifer Doudna, and Fei-Fei Li.

Patent Footprint

A portfolio shaped around predicting human biology, not just lab biology

2018–2020

Daphne founds insitro in South San Francisco to bring machine learning and high-quality biological data into drug discovery. Early filings cover machine learning methods, biological data analysis, and computational discovery pipelines.

2021–2023

Patent activity accelerates, with 31 patents across three years and 14 filings in 2023 alone. The portfolio expands across cellular models, clinical genetics, optical screening, and AI-enabled discovery workflows.

2024–2025

insitro continues expanding its platform and therapeutic pipeline. The company reports progress across ALS, obesity, MASH, and other programs, while its patent activity continues to protect the computational and biological systems behind its discovery engine.

AI-Enabled Drug Discovery

A small-entity company filing like a category leader

Insitro is classified by the USPTO as a Small Entity, yet its five-year filing volume of 43 patents reflects a company that has built one of the most differentiated AI-driven platforms in biopharma. The portfolio is concentrated in the communications and computer architecture art units that protect machine learning systems, computational biology methods, and AI-driven discovery pipelines.

Patents, last 5 years
+
Peak year (2023)
+ Filings
USPTO entity status
Small Entity
Art unit focus
2668 / 2676
"Leading an innovation program is harder than inventing on your own. It means choosing what to file, who to credit, and where to invest, over and over, for years. The leaders we recognize on World IP Day have done that consistently, and built something that compounds."

Sam Zellner

Founder, InspireIP · Inventor · Innovation Leader

About Insitro

Built in South San Francisco, redefining drug discovery for the AI era

Founded in 2018 and headquartered in South San Francisco, Insitro is an AI-enabled drug discovery and development company.

The company’s platform brings together human-derived cellular systems, high-content imaging, population-scale clinical genetics, pooled screening, computational chemistry, and therapeutic discovery workflows.

The goal is to make drug discovery more predictive by connecting machine learning with biological data that better reflects human disease.

insitro has raised over $740 million and works across metabolism, neuroscience, oncology, and related areas. The company maintains active collaborations with Bristol Myers Squibb, Eli Lilly, and Gilead Sciences.

In 2025, insitro announced the acquisition of CombinAbleAI to complete its full-stack, modality-agnostic AI platform.

IP Day 2027

Know an IP innovator who deserves recognition?

Each year we recognize the inventors and IP leaders behind the portfolios that protect what their companies create. That includes founder-inventors whose contributions often go unmarked. Nominate someone for next year’s list.

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