Yong Chi Chua | Epigenetics | Best Researcher Award

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Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | MalaysiaĀ 

Author Profile

Scopus

šŸŒŸ Chua Yong Chi: AI Software Engineer Extraordinaire šŸŒŸ

šŸŽ“ Education

šŸŽ“ Master of Computer Science

University of Technology Malaysia
CGPA: 3.95 / 4.0, UTM National Postgraduate Fund (NPF) Scholarship
October 2021 - April 2023 | Skudai, Johor, Malaysia

šŸŽ“ Bachelor of Computer Science (Computer System)

University of Putra Malaysia
CGPA: 3.677 / 4.0, Second Upper Class Honour
October 2017 - September 2021 | Serdang, Selangor, Malaysia

šŸ’¼ Professional Experience

šŸ¤– AI Software Engineer

Redfin Technology
July 2023 - Present | Kuala Lumpur, Malaysia

  • Lead and coordinate an AI team to ensure timely completion of tasks.
  • Communicate effectively with project managers to gather requirements and align team efforts.
  • Utilize advanced knowledge in the RASA framework for AI chatbot development.
  • Implement NLP techniques including featurization, tokenization, data labeling, entity recognition, and intent classification.
  • Apply machine learning skills in feature engineering, classification, performance evaluation, and data modeling.
  • Conduct data analysis to extract and analyze conversation data, optimizing model performance.
  • Utilize TensorBoard to monitor model training.
  • Develop and deploy AI models using microservices architecture.
  • Implement web development using Vue.js, Spring Boot, and MySQL.
  • Create REST APIs to interact with databases for data validation and insertion.
  • Develop Docker containers for model training to handle OS dependency issues.
  • Use SQL queries for data insertion and extraction.
  • Debug code to identify and resolve errors efficiently.

šŸ’» Java Developer Intern

Cyber Village
March 2021 ā€“ August 2021 | Kuala Lumpur, Malaysia

  • Collaborated with a team to develop a Fintech project using HTML, CSS, JavaScript (AngularJS), and Java (Spring Framework).
  • Tested web applications for bugs, documented processes, and fixed issues.
  • Assisted in creating a prototype for a new Fintech project by reusing existing code.

šŸ”¬ Projects

  1. Q-learning Model for Selection of Genetic Markers Associated with Acne
  • Developed a reinforcement learning agent using the Q-learning model to select genetic markers associated with acne.
  • Conducted data preprocessing and data mining for acne gene expression datasets using R programming.
  • Developed a Q-learning agent using Python (NumPy, pandas) and designed Markovian domains (state, action, rewards, Q-value) for the gene expression datasets.
  • Evaluated the performance of selected genes with logistic regression classification and analyzed their relationship with acne through PubMed text data mining.
  1. A Microservices Based Framework for IoT System in Smart Home Environment
  • Developed an IoT environment system on Raspberry OS and Docker, including temperature and humidity monitoring, light intensity monitoring, and light automation.
  • Created independent and loosely coupled features using different API IDs for each sensor.
  • Developed a messaging protocol between sensor and server using MQTT (Eclipse Mosquitto), backend function and API using JavaScript (Node-RED), database storage using InfluxDB, and data visualization using Grafana.

šŸ“š Publications

AI-driven Q-learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers
Published in the Egyptian Informatics Journal
Read more

šŸ’” Skills

  • Programming Languages: Python, Java, R, JavaScript (AngularJS, Vue.js)
  • Frameworks & Tools: RASA, Spring Boot, Docker, TensorBoard, Git, GitLab, Visual Studio Code, Eclipse
  • Databases: MySQL, InfluxDB
  • Technologies: Microservices architecture, REST API, SQL
  • Data Science: NLP, Machine Learning, Data Analysis, Feature Engineering

šŸ… Activities

Event President
UPM 6th Modern Dance Performance - F6und, March 2020

  • Coordinated over 100 active members and involved over 1000 audiences.

Club President
UPM Extreme Dancer Club, October 2018 ā€“ October 2019

  • Led and communicated with a 25-member organization.

šŸŒ Additional Information

  • Languages: English, Chinese, Malay
  • Interests: Gym, Dancing, Travelling, Badminton

šŸ“š Notable Publication

AI-Driven Q-Learning for Personalized Acne Genetics: Innovative Approaches and Potential Genetic Markers

Authors: Chua, Y.C., Nies, H.W., Kamsani, I.I., Nies, Y.H., Mohamad, M.S.
Journal: Egyptian Informatics Journal
Volume: 26
Pages: 100484
Year: 2024

Ying Yang | Neurodegenerative Disease | Best Researcher Award

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Assoc Prof Dr. Ying Yang | Neurodegenerative Disease | Best Researcher Award

Xi'an Children's Hospital | ChinaĀ 

AUTHOR PROFILE:

Scopus

Orcid ID

EARLY ACADEMIC PURSUITS:

Ying Yang's academic journey began with a strong focus on science and medicine. Excelling in her studies from an early age, she displayed a keen interest in genetics and neurology. This passion led her to pursue a Bachelor's degree in Genetics, laying the foundation for her future research endeavors.

PROFESSIONAL ENDEAVORS:

After completing her undergraduate studies, Ying Yang embarked on a path towards advanced research and academic excellence. She pursued a Master's degree, delving deeper into the intricacies of genetic disorders affecting the nervous system in children. Her dedication and commitment to her field were evident as she published several papers during this period, showcasing her burgeoning expertise.

CONTRIBUTIONS AND RESEARCH FOCUS ON NEURODEGENERATIVE DISEASE:

Ying Yang's primary focus has always been on identifying pathogenic genes and elucidating the underlying mechanisms of hereditary diseases in pediatric neurology. Her research efforts have contributed significantly to the understanding of these complex disorders, providing crucial insights into their pathogenesis and potential therapeutic targets. Through her meticulous investigations, she has uncovered novel genetic mutations associated with various neurological conditions, advancing the field and paving the way for personalized medicine approaches.

IMPACT AND INFLUENCE:

Ying Yang's work has had a profound impact on both academia and clinical practice. Her findings have been widely cited and have informed clinical decision-making, ultimately improving patient care and outcomes. Furthermore, she has played an instrumental role in shaping the research landscape in her field, inspiring fellow scientists and students alike to explore the intersection of genetics and pediatric neurology.

ACADEMIC CITATIONS:

Ying Yang's contributions to the field have been recognized through numerous citations in peer-reviewed journals and academic publications. Her research papers have served as fundamental references for researchers and clinicians working in pediatric neurology and genetics, further cementing her reputation as a leading authority in her area of expertise.

LEGACY AND FUTURE CONTRIBUTIONS:

As Ying Yang continues to make strides in her research, her legacy as a pioneering scientist in pediatric neurology and genetics grows ever stronger. Her commitment to unraveling the mysteries of hereditary diseases in children serves as a beacon of inspiration for future generations of researchers. With her unwavering dedication and innovative approach, she is poised to make even greater contributions to the field, leaving an indelible mark on scientific knowledge and clinical practice for years to come.

NOTABLE PUBLICATIONS:

First report of paternal uniparental disomy of chromosome 8 with SLC52A2 mutation in Brown-vialetto-van laere syndrome type 2 and an analysis of genotype-phenotype correlations 2022(3)

Identification of two novel variants of the BCL11B gene in two Chinese pedigrees associated with neurodevelopmental disorders 2022(7)

Novel FOXP2 variant associated with speech and language dysfunction in a Chinese family and literature review 2024

A Novel Homozygous Deletion Including Exon 1 of FA2H Gene Causes Spastic Paraplegia-35: Genetic and Lipidomics Analysis of the Patients 2024

Lethal variant in the C2A domain may cause severe SYT1-associated neurodevelopmental disorder in the newborns 2024