Dr. Jay Perrett
Co-founder & Chief Technology Officer

Dr Perrett co-founded Applied InSilico in March 2003 to apply artificial intelligence and evolutionary programming techniques to improve the efficiency and automation of the preclinical drug discovery process.

Dr. Perrett earned a BSc in Physics and a PhD in Experimental High Energy Astrophysics from Leeds University in the UK. During his career, he has authored and contributed to many articles and papers, has published in refereed scientific journals, conference proceedings, and has been a featured speaker at numerous scientific and high-tech industry conferences.

Dr. Perrett enjoyed a distinguished 10-year career in research and academia in the United States and United Kingdom. At Leeds University, he conducted research on high energy cosmic rays; and then was then appointed to work at the Bartol Research Institute at the University of Delaware. At Bartol, Dr. Perrett spearheaded the establishment of a research program, funded by the National Science Foundation, on ultra-high energy astrophysics at the South Pole. He took part in three extended field trips to the South Pole with scientific and technical leadership responsibilities for the last two. He was awarded the US Antarctic Medal for Research as a result of his efforts. It was during these latter years that Dr Perrett undertook research into the application of advanced AI techniques to numerous scientific disciplines. These techniques formed the foundation of his work at DNNI.

Daniel Edward King
Co-founder

Daniel King brings nine years of relevant technical experience and business development while holding joint International patents with Dr. Jay Perrett in Machine Learning and Evolutionary Computing. King co-founded Applied InSilico with Perrett in 2003 to improve the efficiency and automation of the preclinical drug discovery process. Prior to that, King was a distinguished Bell Labs engineer and has worked as a Senior Technology Engineer for Cisco Systems. He was responsible for building the International Customer Support Organization for Redback Networks, and more recently Director of International Business Development for Movaz Networks. King is currently completing his MBA from the Oxford Saïd Business School.

Lee Gent, MSci
System Architect

Lee Gent brings six years of software engineering experience and thirteen years of relevant technical experience to the Applied InSilico team. He graduated from Keele University, UK, with a Master in Science degree in Astrophysics and Computer Science where he also created and ran the University Computer Society.

Lee has spent a number of years working in the field of distributed computing, inter-process control and Web-based services. Lee joined the Applied InSilico team in October, 2003, and has since been responsible for the development of Release 1 and architectural design and development of Release 2 software building on his vast experience of LAN/WAN networks, Object-Oriented Programming and synchronous and asynchronous communications protocols.

Dr. Clive Briant
Business Development

Clive Briant has 20 years experience working within the biotech and life science software and service sectors. Combining a scientific background with commercial experience, Dr. Briant is able to bring to Applied InSilico a solid track record in providing innovative solutions to life science companies.

Dr. Briant has a chemical computing background; a chemistry degree and PhD in crystallography from Bradford University, followed by a period of post-doc research at Oxford University. It was at Oxford that he became interested and began applying novel computer modeling methods to theorize and validate the 3-dimensional structures of organometal cluster materials.

Emiko King
Application Engineer

Emiko King studied physics at the Sophia University in Tokyo, Japan. Her background includes research and development for a number of optical companies in Japan, UK and the US.  Her success includes designing an automated high-precision optical filter fabrication system for Dense Wave Division Multiplexing amplifiers. She has had a personal interest in Life Science technologies for a number of years and joins the DNNI R&D team to develop applications for the Life Science industry.