
Bingda Li
PhD, Biomedical Engineering, Carnegie Mellon University. Founded Whelix after years of nights and weekends in the cell culture room.
Whelix was founded by scientists and engineers who experienced the limits of manual cell culture firsthand. During his PhD research in biomedical engineering at Carnegie Mellon University, CEO Bingda Li experienced how repetitive pipetting, frequent night and weekend lab visits, inconsistent results, and contamination slowed progress across life-science research.
Too much scientific talent was being spent on cell expansion and maintenance instead of discovery. Believing this problem demanded a new paradigm, Bingda partnered with CTO Xinyu Wang, a robotics researcher at CMU, to reimagine how cell culture should be done.
Together, they founded Whelix to build intelligent, compact, modular, and affordable robotic platforms that automate cell culture end to end. By uniting cell biology, robotics, and AI, Whelix is transforming cell culture from a bottleneck into a scalable, reliable foundation for modern biology.

PhD, Biomedical Engineering, Carnegie Mellon University. Founded Whelix after years of nights and weekends in the cell culture room.

Robotics researcher, CMU. Leads systems, perception, and Willow (the protocol agent).

Tissue engineering & cell biology. Owns the protocol library and validation.

Cell culture process design. Bridges science and the agent.

Lab automation veteran. Helps us land in real labs.
Robotics, perception, biology, full-stack. Boston & Pittsburgh.
See positions →
First institutional check fueling design-partner expansion.
Engineering operations co-located with Boston's robotics ecosystem.
Founded out of CMU robotics + biomedical engineering.
Bingda & Xinyu set out to automate the most painful part of cell biology research.
CMU research-lab pilot — 4–5 robots orchestrated by a single scientist.
Draper Associates leads. Willow (the protocol agent) ships in production.
Production-tempo workcell with full peripheral stack — IQ/OQ pack, full SDK + OpenAPI surface.
Tell us about your workflows, scale, and goals. We typically respond within 1–2 business days.