Ray G. Butler

CEO / Director of Data Science at Butler Scientifics

Ray G. Butler

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Summary

Information and automation are the word that epitomizes me best. My education, abilities, professional experiences, and fervor are all intimately intertwined with information systems, data analytics and software development projects.

Throughout my extensive career spanning over two decades, I have garnered the experience and personal competencies of a top-notch Software Analyst, a Data Scientist, a Project Manager, an R&D Manager and, ultimately, Data Science Director and CEO.

For the past 20 years, I have dedicated myself to assisting biomedical researchers across the globe in making groundbreaking discoveries through the use of intelligent, automated, and user-friendly data exploration tools.

Currently, I continue to pursue my passion through the invigorating startup venture, Butler Scientifics.

"Driven by a passion to simplify lives."

Areas of expertise:

- Entrepreneurship.
- Lean Start-Up + Bootstrapping.
- Data Science.
- Software Engineering.
- Big data / Complex data analytics.
- Life Sciences software business.
- R&D and innovation management.
- Controlling budgets.
- On time delivery.
- Business development.
- Financial awareness.

Skills and Core Competencies:

- Innately empathetic, with a keen ability to discern customer needs.
- Proficient in bridging gaps across diverse levels and cultures.
- Exceptional communicator and adept presenter, capable of captivating various audiences.
- Forward-thinking and innovative, with a knack for proactive problem-solving.
- Motivational leader, adept at maximizing efficiency and productivity within teams.
- Extensive experience at the senior level in software engineering.
- Remarkable skills in product development and managing profitable innovations.
- Deep understanding of the biotechnology and life sciences industries.
- Multilingual proficiency, with fluency in both English and Spanish.

Positions

CEO / Director of Data Science Feb 2014 -

Butler Scientifics

As CEO and Director of Data Science at Butler Scientifics, I lead a multidisciplinary team dedicated to automating data science processes to return analytical power to those who know their business or research best. Our goal is to empower scientists and decision-makers to derive insights independently—more efficiently, more rigorously, and more intuitively—by reducing technical barriers through automation.

Beyond our flagship AutoDiscovery software—an advanced tool for automated exploratory data analysis—we also design and deploy AutoModeler, a robust framework for automating the creation and evaluation of statistical and machine learning models. Together, these tools support our clients throughout the entire data science lifecycle.

Key Achievements:

· Conceived and led the architectural development of AutoDiscovery and AutoModeler, enabling automated exploration and modeling of complex datasets.

· Built a multidisciplinary project team with strong expertise in statistics, software engineering, medicine, biology, and business.

· Established strategic collaborations with over five renowned Principal Investigators during the software co-development phase.

· Successfully implemented the company’s fundraising strategy.

In parallel, I have proudly served as an Associate Professor of Statistics and Data Science for over six years. Teaching is a personal passion—sharing knowledge, guiding new talent, and fostering curiosity have always been central to my professional journey.

Education

Universidad de Las Palmas de Gran Canaria

Field of study: Computer Sciences

Degree: BSc

Professional interests
- Data Science.
- Software Engineering.
- Big data / Complex data analytics.
- Life Sciences software business.
- Entrepreneurship.
- Lean Start-Up + Bootstrapping.
- R&D and innovation management.
- Controlling budgets.
- On time delivery.
- Business development.
- Financial awareness.
Keywords: Automation, Business Intelligence, Computer Programming, Data Exploration, Data Mining, Data Modeling, Data Science, Data Visualisation
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