Chenghui Cai

Director of Applied Sciences at Ayata

Chenghui Cai has a diverse work experience spanning multiple roles and industries. Chenghui currently holds the position of Director of Applied Sciences at Ayata since 2022. Prior to that, Chenghui served as the Co-Founder of Jinxin Big Data Finance LLC, where they led a team of up to 22 people and focused on developing innovative Fintech solutions in the field of big data finance. Chenghui also established a company-owned local cloud big data platform and implemented automated data collection, cleaning, storage, and feature generation processes.

In 2009, Chenghui founded AITrading.org, a company dedicated to the research and development of Automated and Intelligent (A.I.) trading. Chenghui also worked at Opera Solutions as a Senior Staff Scientist and Analytics Manager from 2013 to 2015. In this role, they conducted research in pricing, risk management, and strategy development in the US corporate bond market using statistical machine learning and large-scale machine learning techniques.

Chenghui was also involved in co-founding MQT Investments LLC in 2012 and held various positions at Opera Solutions from 2011 to 2012, including Junior Analytics Manager and Senior Staff Scientist/Analytics Manager.

Before entering the industry, Chenghui gained research experience as a Postdoctoral Research Associate at the Department of Electrical and Computer Engineering at Duke University. Their research focused on developing statistical learning, optimal control, signal processing, and data mining techniques.

Chenghui also worked as a Quantitative Researcher at Cantor Fitzgerald in 2010 and as a Research Assistant at the Department of Mechanical Engineering and Materials Science at Duke University from 2004 to 2008. Additionally, Chenghui worked as an Electronic Design (R&D) Engineer at Celestica R&D Center in Shanghai, China in 2003.

Overall, Chenghui Cai has a strong background in applied sciences, financial technology, and data analytics, and has made significant contributions in research and industry roles throughout their career.

Chenghui Cai has a strong educational background in mechanical engineering. From 1996 to 2000, they obtained their Bachelor of Science degree in mechanical engineering from Tsinghua University. Following this, they pursued a Master of Science degree in mechanical engineering at Tsinghua University from 2000 to 2003. Chenghui Cai then went on to further their studies at Duke University, where they completed their Ph.D. in mechanical engineering from 2004 to 2008.

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New York, United States

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Ayata

Artificial Intelligence, by itself, is not necessarily actionable. While predictions are insightful and useful, they often leave it up to humans to make decisions to take advantage of the foresight. Enter Ayata – our software combines Artificial Intelligence (the science of predictions) with Operations Research (the science of decision making).Ayata’s software predicts what’s ahead and prescribes how to take advantage of this predicted future, without disrupting other priorities. For critical processes at large corporations, Ayata's software ingests videos, images, sounds, text, and numbers - together - to continually predict performance metrics and prescribe how to improve this predicted performance. Since more than 80% of the world's data is unstructured, any technology focused on improving future performance must be capable of taking into account ALL data - not just numbers and/or text - to generate accurate predictions and actionable prescriptions. Ayata’s software can and does. In Oil & Gas, Ayata's software has modeled more than 14,000 horizontal shale wells from 6 leading operators in 4 major North American shale plays. Results include 9.8% increase in first year production, 100-day decrease in new well breakeven, and 24% increase in per well ROR. In Insurance, Ayata's software is predicting losses for auto and home insurance policies for all US customers of a "Fortune 50" Insurance company, and running their claims litigation process end-to-end. In High-Tech, Ayata's software helped Cisco Systems, Microsoft, Dell, and Juniper Networks improve Customer Service, Field Service, Retail Operations, and Parts Logistics. Ayata already has 35 US Patents – 9 Issued – and 2 US Trademarks. Ayata’s inventions combine disparate scientific disciplines – such as Machine Learning, Computer Vision, Natural Language Processing, Speech Recognition, Metaheuristics, and Operations Research – to predict what’s ahead and prescribe how to benefit from this future. Our technology architecture is inspired by the Central Nervous System (“CNS”) in the human body. The CNS orchestrates and controls most of the body’s activities even though such processes are rarely conscious. Ayata’s software does the same for complex, mission critical operations.Ayata’s Board of Advisors include prominent senior executives from Google, Chevron, BP, Deloitte, McKinsey, Barclays, and BHP Billiton. Ayata has been featured on Bloomberg TV (twice), HART Energy Conferences (four times), Deloitte Oil & Gas Conference, Deloitte PPMD Conference, Energy Makers Show, Oil & Gas Investor, E&P Magazine, WIRED, GigaOm, InformationWeek, Gizmodo, and other prominent media venues.


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11-50

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