Company Filing History:
Years Active: 2018-2020
Title: Innovations of Joshua Lewis
Introduction
Joshua Lewis is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in the area of consensus sequence identification. With a total of 2 patents to his name, Lewis has demonstrated a strong commitment to advancing innovative solutions.
Latest Patents
One of Joshua Lewis's latest patents focuses on consensus sequence identification. This method involves receiving historical information of episodes and constructing event sets from that information. Each event is categorized with general and synthetic labels, allowing for the learning of an event metric. This metric is used to perform dimensionality reduction, associating a vector with each event and determining angles between vectors. The process continues by determining an event set metric using distances between pairs of event sets and deriving a sequence metric that identifies preferred matches between episodes. Additionally, a subsequence metric is derived, which is a function of the event set metric on subsequences. The method groups episodes into subgroups based on distances and generates a consensus sequence by finding a preferred sequence of events, culminating in a report that indicates the consensus sequence.
Career Highlights
Joshua Lewis has worked with notable companies such as Ayasdi AI LLC and Ayasdi, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the field of artificial intelligence and data analysis.
Collaborations
Throughout his career, Joshua has collaborated with talented individuals, including Pek Yee Lum and Eithon Cadag. These partnerships have fostered a creative environment that encourages innovation and the development of new ideas.
Conclusion
Joshua Lewis is a prominent inventor whose work in consensus sequence identification showcases his innovative spirit and technical expertise. His contributions to the field continue to influence advancements in technology and data analysis.
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