Yong Chi Chua | Epigenetics | Best Researcher Award

Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | Malaysia 

Author Profile

Scopus

🌟 Chua Yong Chi: AI Software Engineer Extraordinaire 🌟

🎓 Education

🎓 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

🎓 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

💼 Professional Experience

🤖 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.

💻 Java Developer Intern

Cyber Village
March 2021 – 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.

🔬 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.

📚 Publications

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

💡 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

🏅 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 – October 2019

  • Led and communicated with a 25-member organization.

🌐 Additional Information

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

📚 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

Richard Lu | Neurodegenerative Diseases | Best Researcher Award

Prof Richard Lu | Neurodegenerative Diseases | Best Researcher Award

Cincinnati Children's Hospital Medical Center | United States

Author Profile

Scopus

Early Academic Pursuits

Qing Richard Lu embarked on his academic journey with a Bachelor of Science in Biochemistry from Peking Normal University in Beijing, China, which he completed in 1988. Following this, he pursued a Master of Science in Biophysics at Rutgers University, New Jersey, USA, completing his degree in 1993. He continued his studies at Rutgers University, earning a Ph.D. in Biochemistry in 1997 under the mentorship of Dr. Masayori Inouye.

Professional Endeavors

Dr. Lu's professional career began with a postdoctoral fellowship at the Dana-Farber Cancer Institute, Harvard Medical School, from 1997 to 2002. He worked with Dr. Chuck D. Stiles and collaborated with Dr. David Rowitch. In 2002, he joined the UT Southwestern Medical Center as an Assistant Professor in the Department of Developmental Biology, where he held the position of Southwestern Medical Foundation Endowed Scholar in Medical Research. He was promoted to Associate Professor with tenure in 2009 and continued in this role until 2013. In 2013, Dr. Lu joined Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine. He currently holds the position of Professor with tenure in the Department of Pediatrics. Additionally, he serves as the Scientific Director of the Brain Tumor Center and Program Leader of the Brain Tumor Program in the Division of Experimental Hematology and Cancer Biology, Cancer & Blood Diseases Institute.

Contributions and Research Focus on Neurodegenerative Diseases

Dr. Lu's research primarily focuses on the molecular and cellular mechanisms underlying brain tumors. His work is significant in understanding the biology of brain cancer and developing new therapeutic strategies. He has made notable contributions to the field of experimental hematology and cancer biology through his research on brain tumor development, progression, and treatment.

Impact and Influence

Throughout his career, Dr. Lu has influenced the field of pediatric oncology and neurobiology. His research has provided insights into the genetic and biochemical pathways involved in brain tumors, contributing to the development of novel therapeutic approaches. His work has been recognized through various academic appointments and endowed scholarships, reflecting his significant impact on medical research.

Academic Cites

Dr. Lu's work has been widely published in numerous scientific journals, and his research findings are frequently cited by peers in the field. His publications contribute to the broader scientific understanding of brain tumors and their treatment, solidifying his reputation as a leading expert in the field.

Legacy and Future Contributions

As a leading figure in pediatric oncology and neurobiology, Dr. Lu's legacy is marked by his commitment to advancing scientific knowledge and improving patient outcomes. His ongoing research efforts and leadership roles at Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine continue to shape the future of brain tumor research and treatment. Dr. Lu’s future contributions are expected to further enhance the understanding and management of brain tumors, paving the way for innovative therapeutic solutions and improved patient care.

Notable Publications