Quinn Jackson

Quinn Jackson has extensive work experience in various roles and industries.

From 2018 to the present, Quinn has served as the Chief Scientist - Mathematics at Pattern Computer, overseeing all mathematics departments and integrating scientific, mathematical, and engineering departments. Prior to this, Quinn worked as a Chief Scientist and entrepreneur in areas such as bioinformatics, SEC compliance, automated medical and financial report analysis, and NLP. Quinn also served as the Chief Architect - New Systems at Faronics Corp.

In 1987, Quinn worked as an author, publishing various works including poems, short stories, articles, technical papers, novellas, and novels.

From 2016 to 2018, Quinn worked as a Senior Software Engineer II at Synopsys Inc. Quinn played a key role in the Static Analysis Technology (SAT) and Security Analysis teams, working on the productization of security analysis subsystems and researching the feasibility of introducing new functionality to end-user workflow subsystems.

From 2005 to 2016, Quinn served as the Chief Scientist at Thothic Technology Partners & Q Agamemnon Technologies, where they designed, implemented, and researched trade secret algorithms, processes, and technologies in adaptive parsing and pattern matching, as well as designed and implemented a suite of grammars and support subsystems for NLP parsing and understanding.

At Faronics Corporation from 2003 to 2005, Quinn worked as the Chief Architect - New Systems, responsible for system design, team building, project monitoring, and research. Quinn also worked as a Professor of Computer Science at American Military University in 2002, proposing, designing, and teaching undergraduate courses in computer science and cyberlaw.

From 2001 to 2003, Quinn worked as a Software/Parsing Consultant at Jackson Solutions, focusing on grammar development, coding, and parsing research. In 1997, Quinn served as a Research Programmer at Hyper Technologies Inc., designing and implementing a lock-down system for public access systems. From 1996 to 1997, Quinn worked as a Software Developer at Lambda Systems Ltd, designing and implementing a lock-down system and patient record UI component.

Lastly, as an independent researcher, Quinn conducted research in complex algebraic functions and adaptive pattern matching engines from 1991 to 1996.

Quinn Jackson's education history begins with a diploma in Computer Programming (C++) from Universal Career Institute, which was obtained in 1993. In 2018, Quinn enrolled in the Science Council (UK) to pursue a Chartered Scientist (CSci) degree, but the end year is unspecified.

In addition to formal education, Quinn has obtained various certifications. These include "D3.js Essential Training for Data Scientists" and "Learning Data Visualization with D3.js" from LinkedIn, both obtained in June 2023. Also from LinkedIn, Quinn obtained "The Data Science of Healthcare, Medicine, and Public Health" in May 2022, "Decision-Making in High-Stress Situations" in April 2022, "Hiring and Supporting Neurodiversity in the Workplace" in December 2021, "Persuasion in UX" in November 2021, "Training Neural Networks in C++" in June 2021, "Creating Credibility" in April 2021, "Business Analytics: Data Reduction Techniques Using Excel and R" in February 2021, "Ethics and Law in Data Analytics" in February 2021, "Machine Learning and AI Foundations: Clustering and Association" in February 2021, "Unconscious Bias" in January 2021, "Critical Thinking for Better Judgment and Decision-Making" in November 2020, "Improving Your Thinking" in October 2020, "Making Quick Decisions" in October 2020, "Tech Ethics: Avoiding Unintended Consequences" in October 2020, "C++ Best Practices for Developers" in January 2020, "C++: Smart Pointers" in January 2020, "Machine Learning and AI Foundations: Decision Trees" in December 2019, and "Balancing Work and Life" in November 2019.