Our team combines decades of experience with cutting-edge technology expertise. We're passionate about revolutionizing how science gets done and becomes more accessible.
Dr. Patel is a Cornell University graduate, physician, and startup co-founder dedicated to advancing healthcare innovation. Currently a Pegasus Venture Scout, leveraging medical expertise and entrepreneurial drive to develop transformative solutions that improve patient outcomes, integrate cutting-edge technology, and create scalable, impactful ventures at the intersection of medicine and business.
Daniel has a background in Computer Programming and Analysis from St. Petersburg College, leads operational and software development strategy while driving software & AI initiatives and enhancing product capabilities, with prior experience in pathogen detection image recognition systems. Daniel also has 5 years experience in business operations and business development in healthcare diagnostics and bioremediation startups.
Anthony has over 15 years experience and has consulted in the financial, entertainment, and insurance industries in the areas of Business Intelligence, Data Analytics, Technical Writing, and Data Visualization for Fortune 500 companies. He has served as an Coordinator and Lecturer and Associate for Graduate School programs in Information Science and Applied Analytics. He is a graduate of the Masters Degree in Information and Knowledge Strategy from Columbia University - Masters in Applied Sociology from Hunter College (CUNY) (Concentration - Qualitative and Quantitative Methods) and Bachelors in Psychology from Fordham University.
Natalie is an experienced commercialization and scientific executive with expertise in women’s health, venture strategy, and translational science. She holds a B.S. in Chemistry from NYU and a Ph.D. in Chemistry from The Graduate Center, CUNY and The City College of New York, where her research focused on nanotechnology and radiopharmaceutical innovation at Memorial Sloan Kettering.
Tim is a seasoned data science, AI developer, and engineering leader with BS degrees in Mechanical and Aerospace Engineering and an MS in Aerospace Engineering. He drives AI innovation across industries, leading R&D teams to develop next-gen, right-sized AI solutions that transform real-world applications.
Dr. Shotton has a PhD in physics from the University of Oxford and is a seasoned and internationally experienced finance and risk management expert, having served in executive and board roles for fintech companies and some of the world's largest banks such as Deutsche Bank, UBS, Goldman, Lehman Brothers, and JP Morgan.
Jeff has over 35 years of experience in the healthcare industry as former Vice President of Clinical Operations for North America at UnitedHealthcare. He led the design and execution of innovative strategies, network management, and operational efficiency. In the last 10 years, he focused on driving initiatives that reduced healthcare costs while improving patient outcomes.
Omair has a background in LIMS, biology, and is a graduate of Emory University. He is a LIMS consultant with extensive experience working as a LIMS solution designer, technical lead, and architect for established clients in the pharmaceutical, state/federal government, manufacturing, and biotechnology industries.
Dominique Troutman is a laboratory manager and toxicologist with extensive experience in clinical and forensic methodologies. She has led core laboratory operations, supervised technical teams, and managed regulatory compliance with a strong focus on quality and accuracy. Her expertise includes laboratory buildouts, staff development, and investigating deviations, and she has also served as a fact witness in toxicology cases.
Lee is an experienced QA/QC Manager with a demonstrated history of working in the beverage and dietary supplements industries. Lee is skilled in Molecular Biology, Biotechnology, Cell Culture, and quality assurance. He is a strong operations professional with a Bachelor's in Microbiology from Colorado State University.
LabABLE combines operational control, open integrations, reusable workflows, shared knowledge, AI agents, and a path toward autonomous scientific execution.
