David Ables

David Ables

LinkedIn
Chief Technology Officer at Bexa
Email
Email **************
Phone
Phone Number **************
Company
Current Company Bexa
Location
Location New York, New York, United States
lightning_bolt Market Research

David Ables


Chief Technology Officer



Professional Overview
David Ables is an accomplished technology executive with over 25 years of experience driving innovation and operational excellence across the medical device and technology industries. As the Chief Technology Officer at Bexa, he is responsible for leading the company's engineering and product development efforts, overseeing the strategic roadmap, and ensuring the delivery of cutting-edge solutions that address the evolving needs of their customers.

Experience Summary

Current Role
As the CTO of Bexa, David is spearheading the development and implementation of transformative technologies that are transforming the way the medical industry operates. He is responsible for aligning the company's technical capabilities with its strategic business objectives, fostering a culture of innovation, and driving the efficient execution of complex, cross-functional projects. Under his leadership, Bexa has launched several award-winning products that have garnered industry recognition and market share.

Career Progression
Prior to his current role, David served as the Interim Chief Operating Officer at Bexa, where he successfully streamlined operations and implemented data-driven decision-making processes that improved overall organizational efficiency. Before that, he held the position of Chief Technology Officer at Medical Tactile Inc., where he led the development of groundbreaking medical devices that have had a significant impact on patient care. Earlier in his career, David held various leadership roles at Pressure Profile Systems, Inc. (PPS), including Chief Technology Officer and Chief Engineer, where he played a pivotal role in advancing the company's pioneering work in pressure sensing technologies.

Academic Background
David holds a Master of Science degree in Mechanical Engineering from the Massachusetts Institute of Technology (MIT), where he also served as a Research Associate. He earned his Bachelor of Science degree in Mechanical Engineering from Harvard University, where he was a Teaching Fellow.

Areas of Expertise
  • Medical device engineering and product development

  • Pressure sensing and data analytics technologies

  • Cross-functional team leadership and project management

  • Strategic technology roadmapping and innovation

  • Operational optimization and process improvement


Professional Impact
Throughout his career, David has been recognized for his ability to drive transformative change and deliver tangible results. He has spearheaded the development of several industry-leading medical devices that have improved patient outcomes and enhanced the efficiency of healthcare providers. Additionally, David has actively contributed to the advancement of the medical technology field through his participation in industry conferences, publications, and collaborative research initiatives.

Conclusion
As a visionary technology leader, David Ables is poised to continue shaping the future of the medical device industry. With his extensive expertise, proven track record of success, and unwavering commitment to innovation, he is well-positioned to guide Bexa and its clients through the rapidly evolving technological landscape and deliver transformative solutions that drive meaningful impact.
live_help_icon Frequently Asked Questions about David Ables
pointer_icon
What company does David Ables work for Bexa? David Ables works for Bexa
pointer_icon
What is David Ables's email address? David Ables's email address is **********
pointer_icon
What is David Ables's role at Bexa? David Ables's role at Bexa is Chief Technology Officer
Browse SuperAGI Directories
agi_contact_icon
People Search
agi_company_icon
Company Search
AGI Platform For Work Accelerate business growth, improve customer experience & dramatically increase productivity with Agentic AI