Dr. Jonathan Arthur
Head of Membership Services
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Phone: +61 2 8079 2500
Email: jonathan@intersect.org.au
Jonathan has twenty-five years of experience in research across both industry and academia, with a focus on health and medical applications of bioinformatics and data science. Prior to joining Intersect, Jonathan was an Associate Professor in Bioinformatics in the Sydney Medical School of the University of Sydney for twelve years, and during that time held coincident appointments as the Chief Technology Officer of Children's Medical Research Institute and the Chief Executive Officer of Sydney Bioinformatics. Jonathan holds a PhD in Chemistry from the University of Sydney; conducted postdoctoral training at Fox Chase Cancer Center, in Philadelphia, USA; and has six years of experience in the biotechnology / medical technology industry, including appointments as Senior Bioinformatics Scientist at Proteome Systems Ltd, a biotechnology start-up, and Founder of his own digital health start-up. For over six years, he has led the Intersect Services Team, including Intersect's core Membership Services: a team of Digital Research Analysts and Digital Research Trainers providing digital research training and support to the researchers of Intersect member universities across Australia. Since 2022, he has overseen the establishment and operation of 3AI: Intersect's data science and analytics service that provides researchers in universities, government, and industry with access to critical data science, artificial intelligence, and machine learning support.
Dr. Anastasios Papaioannou
Data Science Manager
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Position:
Data Science Manager
Academic Background
PhD, Computational Biophysics/Medical Physics
MSc, Computational Physics
BSc, Physics
Bio
Anastasios holds a BSc in Physics and MSc in Computational Physics. He also holds a Ph.D. in Computational Biophysics/Medical Physics from the University of Sydney, with his research focus mainly being on Computational Physics, Data Science, and Machine Learning in applied medicine, biology, and physics. He has over 10 years of experience as an academic tutor and eResearch training Instructor, helping researchers enhance their data science and analytical skills and find solutions for their research challenges and questions. With over 10 years of experience in research, Anastasios possesses an extensive research background and a deep technical understanding and expertise in research data, data and business analytics, data science, machine learning, and programming. He works collaboratively with relevant stakeholders to develop and implement solutions to increase research productivity and advance their research. As Intersect’s Data Science Manager, Anastasios manages and oversees the services provided by Intersect’s Advanced Analytics & AI Platform and the Data Science Team.
Expertise:
4605 (Data management and data science)
5105 (Medical and biological physics)
4611 (Machine learning)
4903 (Numerical and computational mathematics)
4901 (Applied mathematics)
4602 (Artificial intelligence)
Personal Interests
Data Science, AI (AI Applications and Responsible AI), Data Analytics, Data Strategy, Digital Transformation.
Echo Zhou
Research Data Scientist Intern
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Email: echo@intersect.org.au
Position:
Research Data Scientist Intern
Academic Background:
PhD (Pursuing), Data Science/ Computer Science
MSc, Data Science
BSc, Data Science
Bio:
Echo Zhou is a Research Data Scientist Intern with 6 years of experience in data science and statistical modelling. She is currently pursuing a PhD in Data Science/ Computer Science at Deakin University, focusing her research on generative models, incomplete data, and machine learning. Echo also has 5 years of experience as a tutor in technology, demonstrating her passion for teaching and education.
Expertise:
4602 (Artificial Intelligence)
4603 (Computer Vision and Multimedia Computation)
4605 (Data Management and Data Science)
4611 (Machine Learning)
4905 (Statistics)
4903 (Numerical and Computational Mathematics)
Personal Interests:
Data science, data analytics, generative AI in arts, technology, education and promoting gender diversity in STEM.
Glen Charlton
Senior Research Data Scientist
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Email: glen@intersect.org.au
Position:
Senior Research Data Scientist
Academic Background:
MSc, Electronics / Biomechanics
BEngSci. Electronics / Sports Technology
Bio:
Glen is a Data Scientist working on project-based work with the 3AI team. He has 9 years experience working on Data Science and Electronics Engineering with the last 5 years working with researchers to increase their capability to conduct data intensive research.
Expertise:
4602 (Artificial intelligence)
4603 (Computer vision and multimedia computation)
4605 (Data management and data science)
4611 (Machine learning)
4009 (Electronics, sensors and digital hardware)
3103 (Ecology)
4207 (Sports science and exercise)
3003 (Animal production)
Personal Interests:
Working with researchers to develop novel insights within data intensive research projects especially through the use of sensors and image recognition technology.
Dr. Jiaxin Fan
Research Computing Support Specialist
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Email: jiaxin@intersect.org.au
Position:
Research Data Scientist
Academic Background:
PhD, Computational Materials Science
MEng, Computational Materials Science
BSc, Physics
Bio:
Dr Jiaxin Fan is a Research Data Scientist at NSW Department of Climate Change, Energy, the Environment and Water. Jiaxin holds a PhD degree in computational materials science from UNSW Sydney. He has more than 5 years of experience in high-performance computing, first-principles materials modelling, and machine learning. He is interested in using his expertise in large-scale computing and data analytics to support researchers in various disciplines.
Expertise:
3406 (Physical Chemistry)
4004 (Materials Engineering)
4606 (Distributed Computing and Systems Software)
4611 (Machine Learning)
Personal Interests:
Research in HPC and AI to facilitate large model training and data analytics
Long Le
Research Data Scientist
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Email: long@intersect.org.au
Position:
Research Data Scientist
Academic Background:
PhD, Computer Science
B.Eng (Hons), Computer Engineering
Bio:
Long is a PhD candidate in Computer Science at the University of Sydney. He specialises in large-scale machine learning, distributed computing, and their applications in the Internet of Things and next-generation networking solutions. With over 6 years of dedicated research expertise, he has developed an extensive background in machine learning and data mining. He also possesses more than 5 years of experience in designing and tutoring academic courses, where he applies his expertise to enhance the academic and professional growth of learners. As a 3AI's research data scientist at Intersect, he is committed to bridging the gap between theoretical research and practical AI-driven applications, making impactful contributions not only for his fields of interest but also to multiple industries.
Expertise:
Artificial Intelligence
Machine Learning/ Deep Learning
Data Science
Distributed Computing
Internet of Things
Personal Interests:
Exploring distributed machine learning to devise efficient, privacy-preserving solutions for large-scale AI systems.
Marium Afzal Khan
Digital Research Analyst - Intersect
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Email: marium@intersect.org.au
Location:
Intersect
Academic Background:
Ed. M., Technology, Innovation and Education
BSc (Hons), Computer Science
Personal Interests:
Spatial analytics, ICT4D, Applications of technology in education, public sector, and research.
Experience:
Marium Afzal Khan is the Digital Research Analyst from Intersect at the University of Adelaide. She has over 7 years of experience incorporating technology and data analytics across multiple industries including education, health, governance, and research. Marium has a background in computer science with a Masters in Educational Technology.
Yueyang (Roy) Liu
Research Data Scientist
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Email: yueyang@intersect.org.au
Position:
Research Data Scientist
Bio:
Yueyang Liu is a PhD candidate specializing in machine learning and biomedical engineering. He has extensive experience in developing machine learning models for brain data analysis and predictive modelling. His research focuses on leveraging advanced data science techniques to solve complex biological and medical problems.
Expertise:
3209 Neurosciences
4003 Biomedical engineering
4602 Artificial intelligence
4605 Data management and data science
4611 Machine learning
Personal Interests:
Data Science, AI, Biomedical Engineering, Neuroscience