Liang Liu | Molecular Neuroscience | Best Researcher Award

Published on by Genetics and Genomics

Prof. Dr. Liang Liu | Molecular Neuroscience | Best Researcher Award

Xiamen University | China

Author Profile

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🌟 Biography of Dr. Liang Liu 🌟

🎓 EARLY ACADEMIC PURSUITS

Dr. Liang Liu began his journey in the field of life sciences with a Bachelor of Science degree from the School of Life Sciences, South-Central University for Nationalities (2006–2010). His academic curiosity led him to pursue a Ph.D. at the School of Biology and Biological Engineering, South China University of Technology, where he delved into the intricate world of molecular biology (2010–2015).

🏛️ PROFESSIONAL ENDEAVORS

After earning his Ph.D., Dr. Liu undertook postdoctoral research at the prestigious Institute of Biophysics, Chinese Academy of Sciences (2015–2019). Since 2019, he has been a professor at the School of Life Sciences, Xiamen University. He also holds roles as a professor at the State Key Laboratory of Cell Stress Biology and Xiang’an Hospital Affiliated to Xiamen University.

Dr. Liu's leadership and expertise are further amplified through his contributions as a doctoral supervisor, shaping the next generation of researchers in molecular biology and gene editing.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON MOLECULAR NEUROSCIENCE

Dr. Liang Liu’s research portfolio spans cutting-edge domains:

  1. Gene Editing and Diagnostic Tools: Developing and applying innovative tools for gene editing and molecular diagnostics.
  2. Prokaryotic Defense and Viral Antagonism: Exploring molecular mechanisms of prokaryotic defense systems, including CRISPR-Cas systems, and viral strategies for evading host immunity.
  3. Nucleic Acid Processing: Investigating RNA processing, regulation, and nucleic acid methylation modifications.
  4. Structural Biology of RNA: Elucidating RNA-mediated gene expression and regulation through advanced structural biology techniques.

His groundbreaking research has unveiled mechanisms underlying prokaryotic resistance to viruses and contributed to the development of novel gene-editing tools and efficient molecular diagnostic systems.

🏆 HONORS AND AWARDS

Dr. Liu’s exemplary contributions have earned him multiple prestigious honors, including:

  • Outstanding Youth Science Foundation Award (2020).
  • Young Top Talents Program, Xiamen University (2019).
  • Young Talents Support Project, China Association for Science and Technology (2018).
  • Second Prize, Beijing Science and Technology Award (2018).

🌍 IMPACT AND INFLUENCE

Dr. Liu has significantly advanced the understanding of prokaryotic defense systems, especially the CRISPR-Cas system. His insights into Cas nuclease mechanisms have laid the foundation for transformative molecular diagnostic tools. He has also pioneered innovative gene-editing tools, expanding the potential for therapeutic applications.

Through his role as a researcher and educator, he has mentored numerous students, fostering talent in molecular biology and structural biology.

📚 ACADEMIC CITATIONS

Dr. Liu’s research is widely recognized in the scientific community. He has published extensively as a corresponding, co-corresponding, or first author in leading journals such as:

  • Cell
  • Nature Biotechnology
  • Molecular Cell
  • Nature Communications
  • eLife
  • Structure

His contributions have attracted numerous citations, reflecting his research's profound influence and relevance.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Liu’s legacy in molecular biology lies in his impactful work on the mechanisms of prokaryotic defense, innovative diagnostic tools, and advancements in RNA-based research. Moving forward, he is poised to drive significant breakthroughs in epigenetic inheritance, nucleic acid manipulation, and biomedical applications of gene-editing technologies. His continued efforts will undoubtedly contribute to shaping the future of molecular diagnostics and therapeutics.

📑 NOTABLE PUBLICATIONS 

"Structures of Neisseria meningitidis Cas9 Complexes in Catalytically Poised and Anti-CRISPR-Inhibited States" 

  • Authors: Sun, W. , Yang, J. , Cheng, Z. , Sontheimer, E.J. , Wang, Y.
  • Journal: Molecular Cell
  • Year: 2019

"Phage AcrIIA2 DNA Mimicry: Structural Basis of the CRISPR and Anti-CRISPR Arms Race" 

  • Authors: Liu, L. , Yin, M. , Wang, M. , Wang, Y.
  • Journal: Molecular Cell
  • Year: 2019

"Structure Studies of the CRISPR-Csm Complex Reveal Mechanism of Co-transcriptional Interference" 

  • Authors: You, L. , Ma, J. , Wang, J. , Zhang, X. , Wang, Y.
  • Journal: Cell
  • Year: 2019

"A CRISPR-Cas13a system for efficient and specific therapeutic targeting of mutant KRAS for pancreatic cancer treatment" 

  • Authors: Zhao, X. , Liu, L. , Lang, J. , Wang, Y. , Nie, G.
  • Journal: Cancer Letters
  • Year: 2018

"The Molecular Architecture for RNA-Guided RNA Cleavage by Cas13a" 

  • Authors: Liu, L. , Li, X. , Ma, J. , Zhang, X. , Wang, Y.
  • Journal: Cell
  • Year: 2017

Yong Chi Chua | Epigenetics | Best Researcher Award

Published on by Genetics and Genomics

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