Company Introduction
Lila Sciences is building a full-stack scientific superintelligence platform that combines AI models, robotic labs, AI Science Factories, and proprietary autonomous science data to automate scientific discovery across life sciences, chemistry, materials, energy, and industrial R&D.
The company was founded in 2023 out of Flagship Pioneering and is based in the Boston/Cambridge ecosystem focused on biotech and deep science innovation.
Leadership & Team
Lila’s leadership spans AI research, biology, materials science, robotics, and large-scale systems engineering.
Key publicly listed leaders include the following:
- Geoffrey von Maltzahn, PhD — CEO
Former Flagship Pioneering general partner; serial biotech founder across multiple companies in therapeutics and bioengineering. - Andrew Beam, PhD — CTO
Machine learning researcher from Harvard; previously worked on AI applications in biology and healthcare. - George Church, PhD — Chief Scientist
Harvard geneticist and pioneer in genomics and synthetic biology. - Rafael Gómez-Bombarelli, PhD — Chief Scientific Officer (Materials)
MIT professor specializing in AI for materials discovery and computational chemistry. - Julie Shah, PhD — Chief Robotics Officer
MIT professor leading robotics and human–robot interaction research. - Kenneth Stanley, PhD — SVP, Open-Endedness
Former OpenAI and Uber AI Labs researcher focused on evolutionary and generative AI systems. - John Kim — President, Corporate Development
Former General Catalyst executive focused on growth and institutional fundraising. - Chris Fussell — President, Operations
Background in scaling large operational organizations and systems. - Atul Mistry — Chief Software Architect
Former Symbotic engineering leader with experience in large-scale warehouse robotics systems. - Milad Abolhasani, PhD — SVP, Chemistry
Professor specializing in autonomous experimentation and chemical automation. - Ben Kompa, PhD — Head of AI Lab Innovation
AI researcher focused on scientific automation systems.
The broader team includes additional executives across AI systems, life sciences, software engineering, robotics, and operations, structured to support both model development and physical lab execution.
Key Products & Platform
Lila’s platform is built around a tightly integrated AI + robotics system designed for closed-loop scientific discovery.
1. Iris (Scientific Reasoning Model)
An AI system designed to:
- Generate scientific hypotheses
- Design experiments across multiple domains
- Assist with interpretation of experimental results
- Support reasoning in chemistry, biology, and materials science
This model is positioned as the “cognitive layer” of scientific discovery.
2. AI Science Factory (AISF)
A physical + software infrastructure layer that:
- Connects AI models to automated laboratory systems
- Executes experiments using robotics and lab instruments
- Generates experimental data in real time
- Feeds results back into AI models for continuous learning
Public reporting indicates the company is building and scaling large lab facilities in the Cambridge/Boston area to support this system.
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