I am currently a Senior Principle Investigator at the Guangdong-Hong Kong-Macau Greater Bay Area Institute for Precision Medicine and a Joint Researcher at the School of Life Sciences, Fudan University. I earned my Ph.D. from the National University of Singapore (NUS) in 2006, and from 2006 to 2009, I served as a postdoctoral fellow at the National Institutes of Health (NIH) in the Bioinformatics Technology Center (NCBI). From 2009 to 2018, I held various positions at the NIH, including Staff Scientist and Senior Scientist. From 2018 to 2021, I was the Chief Scientist at Tencent’s Medical AI Laboratory in the United States and a Tencent Expert Researcher. My primary research areas are Artificial Intelligence-Assisted Drug Design (AIDD) and Bioinformatics. I focus on developing next-generation AI-driven pharmaceutical technologies powered by data and knowledge, as well as integrating AI with medical, pharmaceutical, biological, and chemical knowledge through big data-driven research.
Since 2002, I have been involved in several pioneering projects in the field of AIDD, including target discovery, high-throughput screening of small molecules, and bioinformatics big data. My contributions include protein function prediction, druggability research of targets, the largest public small molecule database (PubChem), the NIH Biological Pathway Database, and large-scale search engines for biological entities. I have published over 80 scientific papers in professional journals, including Nature Communications and Nucleic Acids Research, with more than 11,000 citations and an H-index of 37. I have 22 years of experience in industry-academic research collaboration and multidisciplinary fields.
Digital Health Scientist Position Overview
The AIDD lab of Greater Bay Area Institute of Precision Medicine (Guangzhou) is hiring a Research Scientist in NLP/CV/Machine Learning – Knowledge Graph, to research, design, implement, and optimize novel algorithms/models that lead to novel or improved systems. You will be working with top scientists and doctors to create innovative AI solutions to support knowledge discovery, decision-making, clinical support, and attainment of optimal patient outcomes.
What you will be doing:
* Development of novel algorithms and working prototypes / demos based on Natural Language Processing (NLP) and Deep Learning / Machine Learning techniques
* Create solutions related (but not limited) to information extraction, automated question answering, and reasoning using structured / unstructured clinical data and biomedical literature, and other sources
* Stay abreast on the existing literature to align, compare and contrast with the state-of-the-art techniques and algorithms
* Prepare manuscripts for top quality AI / Machine Learning / NLP / Healthcare conferences and journals
* Seize opportunities to apply for internal and external research grants
* Working closely with universities, scientific institutions, academic organizations and governmental resources in the capacity of collaborative relationships as needed
We’d like you to have:
* Ph.D. in Computer Science or related fields
* Expertise in Artificial Intelligence (Deep Learning, Machine Learning, Natural Language Processing)
* Experience in Knowledge Graph, Information Extraction
* Proficiency in Python or Java/C++ programming languages
* Experience in Database (SQL, NoSQL, etc.)
* Experience in working under Unix/Linux environments
* Experience with deep learning tools and frameworks (e.g. Keras, TensorFlow, Torch, PyTorch, Theano, Caffe etc.)
* Familiar with clinical NLP along with medical terminologies and ontologies (e.g. ICD 10) and data standards (e.g., FHIR, HL7, DICOM) is a strong preference
* Experience in working with multi-modal and multi-source clinical data is a strong plus
* Strong track record of scientific publications and presentations in top-tier scientific conferences
* Proficiency in software engineering and architecture is a strong plus
* Ability to bridge communication gaps between clinical practice and computer science along with an understanding of patient care workflow in a variety of clinical settings is a strong plus
* Ability to work within a team environment, and should be a quick learner and self-motivated with the ability to plan and execute
* Ability to communicate effectively, both written and verbal
