SynBioBeta Speaker

Chase Olle

Robot on Rails

Founder & CEO

Chase Olle trained as a Mechanical Engineer at Massachusetts Institute of Technology, earning a Bachelor of Science in 2013 and a Master of Engineering in Manufacturing in 2014. During his education, he operated as an independent design consultant under the name MonkeyBox Design, where he built prototype hardware for early-stage startups. Projects included variable-resistance free weights, a digital picture frame, and a universal screwdriver, providing early exposure to rapid prototyping, manufacturability, and customer-driven design constraints.

Chase’s first professional role out of graduate school focused on developing a vision-guided robotic arm for automated film transfer of pyrolytic graphite at AvCarb. This work introduced him to unstructured automation challenges, vision-based alignment, and the reliability constraints of industrial robotic systems operating outside of tightly controlled environments.

He later joined Adcole, where his early career centered on high-precision metrology for automotive manufacturers including General Motors, Volkswagen, and Toyota. At Adcole, Chase led R&D projects spanning camshaft and crankshaft measurement systems, 3D optical surface scanning, and high-speed gear profile measurement using air-bearing-based architectures. This work emphasized calibration rigor, repeatability, and field reliability at production scale.

In 2017, Chase transitioned into biotechnology, joining Dale Thomas at Mytide, a peptide synthesis company. His work focused on peptide synthesis workflows and the automation of downstream processing steps. It was during this period that Chase experienced, firsthand frustration with the limitations of existing lab automation technologies. He observed that, relative to automotive manufacturing, biotechnology lagged significantly in flexible, scalable automation.

This experience inspired him to found Robot on Rails.

Sessions Featuring

Chase

This Year

Breakout Session

•

3:30 PM

-

4:15 PM

AIxBIO

Data Factories: Building the Infrastructure for AI-Ready Biology

Biology is entering an AI-driven era, but most experimental infrastructure still produces data designed for individual experiments, not for learning at scale. As a result, much of today’s data is useful in the moment but poorly suited for training robust, long-lived models. This session will explore what biological data matters most today, what data needs to be generated now to support future models, and how leading teams are closing that gap. Panelists will discuss how automation, metadata discipline, and standardized testing pipelines can turn artisanal lab workflows into continuous experiment-to-learning systems. The focus will be on infrastructure and experimental design, highlighting practical bottlenecks, emerging best practices, and what becomes possible when biology produces abundant, high-quality, model-ready data by default.

Featuring

Ori Zakin

BioRaptor

CEO

Building bioprocess R&D operating systems from noisy data.

Michael Koeris

DARPA

Director, BTO

Protecting National Security with Biology

Chase Olle

Robot on Rails

Founder & CEO

MIT-trained lab-robotics founder automating bench experiments at scale.

Michelle Chen

Form Bio

Pres, CEO & Board Mem.

Barry Bunin

CDD

Founder & CEO

Invented CDD Vault, data-sharing platform for drug discovery.

Breakout Session

•

3:30 PM

-

4:15 PM

AIxBIO

Data Factories: Building the Infrastructure for AI-Ready Biology

Biology is entering an AI-driven era, but most experimental infrastructure still produces data designed for individual experiments, not for learning at scale. As a result, much of today’s data is useful in the moment but poorly suited for training robust, long-lived models. This session will explore what biological data matters most today, what data needs to be generated now to support future models, and how leading teams are closing that gap. Panelists will discuss how automation, metadata discipline, and standardized testing pipelines can turn artisanal lab workflows into continuous experiment-to-learning systems. The focus will be on infrastructure and experimental design, highlighting practical bottlenecks, emerging best practices, and what becomes possible when biology produces abundant, high-quality, model-ready data by default.

Featuring

Ori Zakin

BioRaptor

CEO

Building bioprocess R&D operating systems from noisy data.

Michael Koeris

DARPA

Director, BTO

Protecting National Security with Biology

Chase Olle

Robot on Rails

Founder & CEO

MIT-trained lab-robotics founder automating bench experiments at scale.

Michelle Chen

Form Bio

Pres, CEO & Board Mem.

Barry Bunin

CDD

Founder & CEO

Invented CDD Vault, data-sharing platform for drug discovery.

Previous Speakers Include