Siyang Liu | Bioinformatics | Best Researcher Award

Dr. Siyang Liu | Bioinformatics | Best Researcher Award

Sun Yat-Sen University | China

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πŸ“Š Dr. Siyang Liu: A Leader in Human Statistical Genetics and Bioinformatics

EARLY ACADEMIC PURSUITS πŸŽ“

Dr. Siyang Liu began her academic journey with a Bachelor's in Ecology from Sun Yat-sen University’s Department of Life Science (2007-2011), where she received a China National Governmental Scholarship for her academic performance. Her interest in bioinformatics led her to pursue an MSc and subsequently a Ph.D. in Bioinformatics at the Bioinformatics Center, University of Copenhagen. Supervised by esteemed Professors Anders Krogh and Anders Albrechtsen, she developed a robust foundation in bioinformatics, further supported by the Danish Government Scholarship.

PROFESSIONAL ENDEAVORS πŸ‘©β€πŸ”¬

Dr. Liu is a tenured Associate Professor at the School of Public Health (Shenzhen), Sun Yat-sen University. She also holds concurrent posts as a Professor in Genomics at BGI-Shenzhen Life-Science Institute and a Professor in Bioinformatics at the Center of Excellence for Omics Research, Beijing Tiantan Hospital. Before her current role, she was a Senior Research Scientist at BGI-Shenzhen Life-Science Institute (2018–2021).

CONTRIBUTIONS AND RESEARCH FOCUS ON BIOINFORMATICSπŸ”¬

Dr. Liu's research group primarily investigates human statistical genetics and bioinformatics. Her expertise lies in analyzing genetic, environmental, and molecular factors that contribute to human diseases and traits. She uses a combination of bioinformatics, statistical, and machine learning techniques to study the molecular and systemic etiology of complex diseases. Her goal is to develop predictive and intervention models for these diseases, benefiting individuals and populations alike.

IMPACT AND INFLUENCE 🌎

Dr. Liu’s research has contributed significantly to the understanding of complex diseases through the development of genomic and bioinformatics models. Her work is widely recognized in high-impact journals, with over 20 publications as (co-)first or (co-)corresponding author in journals such as Cell, Nature, Blood, and Nature Communications. Her findings have provided insights into both the predictive modeling of disease and the influence of various genetic and environmental factors on human health.

ACADEMIC CITES πŸ“š

Her body of work is extensively cited in the fields of genomics, bioinformatics, and statistical genetics. This academic impact underscores the relevance and influence of her contributions to scientific knowledge, with her publications helping to advance both the understanding and practical application of complex bioinformatics models.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

With her innovative research, teaching roles, and mentorship, Dr. Liu is shaping the next generation of scientists in the field of bioinformatics and public health. Her leadership in multi-omics projects, especially in the areas of cerebrovascular disease and respiratory virus research, demonstrates her commitment to advancing medical genomics and bioinformatics. Her work in population genetics and epidemiology has already made a lasting impact, and her ongoing projects promise to deepen our understanding of the genetic and environmental factors impacting public health.

KEY PROJECTS, GRANTS, AND TEACHING CONTRIBUTIONSπŸ’‘

Dr. Liu has secured significant funding from national and provincial sources, including the National Key Research and Development Program Project and the Guangdong Provincial Basic and Applied Basic Research Fund, among others.Β Dr. Liu teaches a range of subjects, including Medical Informatics, Bioinformatics, and Epidemiological Methods. Her courses prepare students for practical applications in computational biology and medical statistics.

OTHER NOTABLE ACHIEVEMENTS πŸ†

  • Grants: Dr. Liu has secured several substantial research grants, including the National Key Research and Development Program Project on ischemic cerebrovascular disease and respiratory viruses, underscoring her expertise in multi-omics approaches.
  • Teaching: She is an active educator, teaching courses such as Fundamentals and Experiments in Medical Informatics, Python and Computational Biology, and Epidemiological Methods, shaping the next generation of bioinformatics and medical statistics experts.
  • Honors and Awards: Dr. Liu’s accolades include the Important Scientific Research Achievement Award at BGI-Shenzhen and recognition as a Shenzhen High-level Overseas Talent, highlighting her achievements and influence within the academic and research communities.

NOTABLE PUBLICATIONS πŸ“‘

"Genome-wide association studies of thyroid-related hormones, dysfunction, and autoimmunity among 85,421 Chinese pregnancies"Β 

  • Authors: Wei, Y. , Zhen, J. , Hu, L. , Xiong, L. , Liu, S
  • Journal: Nature Communications
  • Year: 2024

"Efforts made, challenges faced, and recommendations provided by stakeholders involved in mpox prevention and control in China: a qualitative study"Β 

  • Authors: Zhang, W. , Qi, X. , Han, B. , Meng, X. , Zou, H
  • Journal: Public Health
  • Year: 2024

"Genome-wide association study of maternal plasma metabolites during pregnancy"Β 

  • Authors: Liu, S. , Yao, J. , Lin, L. , Jin, X. , Liu, S.
  • Journal: Cell Genomics
  • Year: 2024

"Advances in using non-invasive prenatal testing to study genomics related to maternity"Β 

  • Authors: Jin, X. , Xu, X. , Zhou, A. , Wang, T. , Liu, H.
  • Journal: Cell Genomics
  • Year: 2024

"Utilizing non-invasive prenatal test sequencing data for human genetic investigation"Β 

  • Authors: Liu, S. , Liu, Y. , Gu, Y. , Jin, X. , Huang, S.
  • Journal: Cell Genomics
  • Year: 2024

Yong Chi Chua | Epigenetics | Best Researcher Award

Mr. Yong Chi Chua | Epigenetics | Best Researcher Award

University of Technology | MalaysiaΒ 

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🌟 Chua Yong Chi: AI Software Engineer Extraordinaire 🌟

πŸŽ“ Education

πŸŽ“ 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

πŸŽ“ 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

πŸ’Ό Professional Experience

πŸ€– 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.

πŸ’» 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.

πŸ”¬ 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.

πŸ“š Publications

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

πŸ’‘ 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

πŸ… 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

πŸ“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