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Motivated and detail-oriented Computer Science graduate student with a 3.90 GPA at Arizona State University, specializing in Cybersecurity. Proven ability to apply theoretical knowledge to practical projects, including network security, big data, and machine learning. Strong foundation in software engineering and secure systems, reinforced through advanced coursework and academic research. Eager to gain hands-on experience and contribute to dynamic teams in startup or innovation-driven environments. Known for a fast learning curve, adaptability, and a strong commitment to building impactful technology solutions.

Knowledgeable Portfolio Manager with solid background in derivatives trading, adept at developing and implementing automated trading strategies by leveraging statistical analysis, machine learning and artificial intelligence. Proficient in many Proven track record in navigating complex financial instruments and optimizing portfolio performance. Demonstrated proficiency in risk management and statistical analysis.

A computational biologist with 5.5 years of experience in large-scale genomic data analysis, built on a strong foundation in statistics and classical machine learning. Transitioned into genomics from a purely mathematical background, quickly adapting to the field and successfully applying quantitative expertise to address complex genomic problems. Led and managed a diverse group of scientists, resulting in a first-author publication of a novel computational method with 12 co-authors in Human Genetics, and another first-author manuscript currently in preparation with 7 co-authors. Additionally, collaborated with esteemed scientists across multiple U.S. universities, with work published in Aging Cell, JACC: Basic to Translational Science, and The Journals of Gerontology.

Experienced ICT teacher with over 10 years of proven success in instructing students across a broad spectrum of technology-related subjects. Adept at teaching programming languages, microcontroller programming, Internet of Things (IoT) concepts, application designing, 3D designing, electric circuit theory, robotics, machine learning, and text and block coding. Recognized for creating dynamic and interactive learning environments that cultivate student creativity and critical thinking. Skilled in integrating cutting-edge technologies into the curriculum and staying abreast of the latest advancements in the field. Committed to preparing students for prosperous careers in the digital era.

Tao Yuan

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Bachelor of Science - Electrical Engineering and Intelligent Control

Pre-Master - Information Technology

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Pre-Master - Information Technology

Bachelor of Science - Electrical Engineering and Intelligent Control

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