Email:

aidan.wilson@intersect.org.au

Academic Background:

Master of Arts, Linguistics

BLib. Stud., Linguistics

About:

Aidan Wilson is Intersect’s Digital Research Services Manager, helping supervise and mentor the team of Digital Research Analysts based on site at member universities, and managing Intersect's training program. Prior to this role, Aidan was the DRA at Australian Catholic University, where his role included administering the REDCap system, delivering user training, and supporting ACU’s users with consultation and advice. Since joining Intersect as a Digital Research Analyst in 2015, he has worked across several universities with research from a diverse range of disciplines. He is also a REDCap developer, having published several External Modules, and is active in the consortium community, assisting other administrators with tips, tricks, and troubleshooting.

Aidan has a Masters by Research in Linguistics from Melbourne University, where his research was focused on the verb morphology of the Traditional Tiwi language, from the Tiwi Islands, Northern Territory. He has 9 years of experience at PARADISEC as data manager, archive systems officer; 7 years as Field Linguist and researcher.

Personal Interests:

Australia's Indigenous languages. Data management. Automation and solution design. Cycling, bicycle  maintenance, crosswords.

Email: ali@intersect.org.au

Location:

University of New South Wales

Academic Background:

PhD, Biomedical Engineering (ongoing)

MSc, Biochemistry

BSc, Biology

Personal Interests:

Philosophy and History of Science, Data science, Programming, Statistics, Data Visualization, Scientific Conversations, Knowledge Sharing, and research.

Experience:

Ali is currently a second year PhD student in Biomedical Engineering at UNSW with over 9 years of research experience through his PhD studies, and as a research assistant in various labs from 2013 till present. He has been programming using Excel, R and bash (Linux) for over 5 years and has a strong background in the analysis of health and biological data resulting in the publication of several bioinformatics papers. During the past 5 years he has been able to develop required specialised skills and gain lots of experience in both programming and data analytics (statistical and Artificial Intelligence-based approaches) which gave him a strong capability in teaching students how to start programming and how to design an efficient analysis pipeline in the Excel, R and bash environments. He has over 4 years of teaching data analytics in both R (statistical analysis, scripting and visualization) and Bash (package development) programing languages. He also has several hours teaching bioinformatics experience at University of Sydney and UNSW as casual tutor.

Email: dj@intersect.org.au

Location:

La Trobe University

Academic Background:

Master of Data Science
Bachelor of Mathematical Sciences

Personal Interest:

Supporting researchers in achieving their best research goals and outcomes using REDCap, graph databases and machine learning

Experience:

Ayodeji Ladeinde is Intersect’s Digital Research Analyst at La Trobe University (Bundoora campus) where his role includes administering the University's REDCap instance, delivering user training, and supporting LTU researchers towards achieving their goals and outcomes. Before his current role, he worked overseas at a Reserve Bank for over 10 years, leading process improvement and policy development for secondary market operations as well as managing the Real-Time Gross Settlement System.

DJ has a Masters in Data Science from Deakin University, He discontinued his PhD at Monash University in June 2023 due to family commitments and his research was focused on the use of graph databases for requirements analysis.

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.

Contact:

xingyong@intersect.org.au

Location:

Western Sydney University

Academic Background:

PhD, Theoretical & Computational Chemistry

BSc, Chemistry

Personal Interests:

Computational study of chemistry, biophysics and nanomaterials.

Experience:

Jeff Wang is the Intersect Digital Research Analyst for Western Sydney University, with a research background in Computational Chemistry. He is the WSU Qualtrics Brand Admin and one of the WSU REDCap administrators. Jeff has more than 3 years’ experience in delivering training courses and supporting researchers on the use of digital research tools, such as Qualtrics, REDCap, and Excel.

Contact:

jianzhou@intersect.org.au

Location:

University of Technology Sydney

Academic Background:

PhD, Photovoltaic Engineering

BE (Hons I), Photovoltaic and Solar Energy

Personal Interests:

Training and researcher engagement. Engineering system design and optimisation. Renewable energy innovation.

Experience:

Dr Jianzhou Zhao is a Digitial Research Analyst based at University of Technology Sydney. Jianzhou holds a PhD in Photovoltaics and Solar Energy Engineering. He has 6+ years as an digital research training instructor and coursework demonstrator; 2+ years as a Project Manager and a Research Assistant.

Dr Jianzhou Zhao has been a Digital Research Training Specialist at Intersect for 5 years and, since July 2023, he has been the DRA for UTS.

Jianzhou is working with his colleagues at Intersect and the UTS eResearch team to help guide the development and deployment of relevant eResearch services; and, increase the visibility and acceptance of good eResearch practices across all areas in the university. 

Email: jianzhou.zhao@uts.edu.au eResearch team email: eresearch-it@uts.edu.au

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

Contact:

katherine.howard@intersect.org.au

M: 0431 956 821

Location:

University of South Australia

Academic Background:

PhD Information Science
Master of Arts (Digital Library Learning)
Grad. Dip Info Studies
Bachelor of Music

Personal Interests:

New and emerging roles for information professionals, particularly around data science, research data management, and in the GLAM (galleries, libraries, archives and museums) sector; Digital Humanities; Public Libraries' relationship to the Public Sphere.

Experience:

Dr Katherine Howard is Intersect Australia's Digital Research Analyst for UniSA. She supports UniSA researchers by providing expertise in various digital tools and technologies, facilitating access to NCI's HPC (Gadi), and coordinating Intersect's training program for UniSA staff and students. Katherine's background is in Information Science and she has extensive national and international experience as a researcher and academic. Katherine was most recently a Research Fellow with the ARC-funded 'Library and Information Science Research in Australia' (LISRA) project, aimed at enabling and encouraging research in Australia's library and information profession. Prior to this, she was an Early Career Development Fellow at RMIT; has held academic positions at QUT and UniSA; and undertaken sessional work with Curtin University and Charles Sturt University. Dr Howard has received many scholarships and research awards. She was awarded a two-year scholarship to undertake the Erasmus Mundus International Master in Digital Library Learning, studying with world-renowned Information Science scholars in Norway, Estonia and Italy. Katherine was the first person outside of North America to win a Eugene Garfield Doctoral Dissertation Fellowship, and her PhD, completed at QUT, was nominated for an Outstanding Doctoral Thesis Award. Katherine's research focuses on new and emerging roles for information professionals, particularly around data science, research data management, and in the GLAM (galleries, libraries, archives and museums) sector. She also has a keen interest in the Digital Humanities.

Contact:

olivia@intersect.org.au

+61 3 9953 3684

Location:

Australian Catholic University

Academic Background:

PhD, Evolutionary Biology
BSc (Hons) Ecology, Evolution, and Chemistry

Personal Interest:

The use of data in complex problem-solving, adaption and resilience of communities and biological systems to changing conditions, education

Experience:

Olivia Davies is a Digital Research Analyst based at Australian Catholic University. She has a background in biological sciences, having completed a PhD in molecular and evolutionary biology applied to Australian’s glorious native bees. Olivia has also worked in local government on the challenges of climate change resilience and mitigation in the community. With 8+ years experience in data and statistics teaching, Olivia is passionate about meaningful, straightforward, and best practise application of data analysis to problem-solving and research.

Contact:

sachin@intersect.org.au

Location:

Deakin University

Academic Background:

PhD, Computational Design
Bachelor of Computer Science & Engineering

About:

Sachin Wasnik is a Digital Research Analyst based at Deakin University. He has broad experience in the design and development of Data Science projects. He has worked as a Digital Research trainer leading Python, R and Data visualisation courses. He has finished his PhD in applying Deep Learning to EEG time series data at the University of Sydney.

Personal Interests:

Data Science, Machine Learning

Experience:

Sachin Wasnik is a Digital Research Analyst based at Deakin University. He has broad experience in the design and development of Data Science projects. He has worked as an eResearch trainer leading Python, R and Data visualisation courses. He has finished his PhD in applying Deep Learning to EEG time series data at the University of Sydney.

Contact:

sam@intersect.org.au

Location:

La Trobe University

Academic Background:

PhD, Exercise and Sport Science
Bachelor of Exercise and Sport Science (Honours)
Bachelor of Business (Sport Management)
Bachelor of Commerce (Economics)

Personal Interests:

Physiology and psychology of endurance exercise, macroeconomics, education.

Experience:

Dr Sam Ryan is a Digital Research Analyst at Intersect Australia, based at La Trobe University. He is a Doctor of Exercise Science with research experience in quantitative data collection and analysis methods, data management practices, and teaching of research technologies to research students and early career researchers. He remains an active researcher in the field of exercise science alongside his work with La Trobe researchers and is currently completing a Bachelor of Commerce majoring in Economics. He has 6 years as a Sport Scientist in professional football, 5 years as an active researcher at Australian Catholic University and University of Technology Sydney, 3 years as a Sessional Teaching Academic at La Trobe University.

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.

Email: emran@intersect.org.au

Location:

Deakin University

Email: esmaeel@intersect.org.au

Location:

Melbourne

Email: glen@intersect.org.au

Position:

Lead 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.

Contact:

E: heela@intersect.org.au

W: https://research.unsw.edu.au/research-technology-services-restech

Available on campus: Thursdays

Location:

University of New South Wales

Academic Background:

PhD, Social and Political Sciences
MA, Social Sciences
BSc, Computer Science

Experience:

Dr Heela Popal is the Digital Research Analyst at UNSW. She has 5+ years as a sessional academic tutor and Digital Research Trainer.

Personal Interests:

Researching racism and Islamophobia in Australian political discourse.

Email: laura@intersect.org.au

Location:

University of Sydney

Academic Background:

PhD, Applied and Plasma Physics (ongoing)
BSc (Hons I ), Physics

Personal Interests:

Applied plasma physics for nanoparticle fabrication and implementation in biomedical applications. Passionate about conveying my knowledge to the scientific and public community.

Experience:

2+ years of research experience in plasma polymerised nanoparticle and their biomedical applications; 5+ years as a tutor for students at various academic levels.

Email: mariam@intersect.org.au

Location:

Deakin University

Academic Background:

PhD, Human-computer Interaction
MSc, Informatics

Personal Interest:

REDCap; Research Data Management; instructional design

Experience:

Mariam Tebourbi is a Digital Research Analyst based at Deakin University. She has longstanding experience in helping NGOs as well as government bodies build technical capabilities. Additionally, she has a research background in designing technology-based methods and tools to help organisations better engage diverse communities in the International Development sector. 

Contact:

marium@intersect.org.au

Location:

University of Adelaide

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 joined Intersect as the DRA for University of Adelaide in 2021. She has over 10 years of experience incorporating technology and data analytics across multiple industries (including education, health, corporate sector, governance, and research) and multiple geographies (USA, Pakistan, Singapore and Australia). Marium has a background in computer science with a Masters in Educational Technology.

Contact

peta@intersect.org.au

Location:

University of New England

Academic Background:

Masters of Environmental Management

BSc, Marine Science and Management

Personal Interest:

Currently undertaking a PhD using secondary data analysis and behavioural science to investigate student retention in higher education.

Expertise:

Peta Scott has been the Intersect Digital Research Analyst at the University of New England since late 2018. Peta has a broad research background spanning environmental science, mental health, higher education, learning analytics, and behavioural economics. Peta has expertise in both qualitative and quantitative research methods, practices, and software with specialisations in R programming, SPSS, Qualtrics, and NVivo. Peta also prides her work on strategic projects at UNE focussing on business improvements. Peta also enjoys supporting researchers by simplifying complicated programs and processes. Peta has 6+ years experience in higher education research and corporate analysis.

Phone: seng@intersect.org.au

Location:

University of New South Wales

Academic Background:

PhD, Multidisciplinary Research on TB (ongoing)
M Computer Science
B Math/ B Science

Personal Interests:

Artificial Intelligence algorithms and application, Time series forecasting, Medical Informatics.

Experience:

10+ years in teaching undergraduate students (Informatics/ Computer Science), 4+ years of Python programming, 4+ years in teaching Artificial Intelligence and Machine Learning courses.

Email: thomask@intersect.org.au

Location:

University of Adelaide

Academic Background:

PhD, Theoretical physics specialising in lattice QCD (ongoing)
BSc, Theoretical physics with honours

Personal Interests:

Data driven programming – specifically data analysis and visualisation, open source software development, general physics.

Experience:

Teaching in STEM for 3+ years, long time programmer in several languages, an entire PhD in high performance computational physics and data analysis.

Contact:

xiaoying@intersect.org.au

Location:

Deakin University

Academic Background:

PhD, Electrical and Computer Engineering
Master of Telecommunication and Information Systems
Bachelor of Electrical Engineering and Automation

Personal Interest:

Digital platforms and approaches in broad research disciplines on data acquisition, visualisation, analysis and automation. Support researchers to achieve their best research goals and outcomes.

Experience:

Dr Xiaoying Wang is Intersect’s Digital Research Analyst at Deakin University (Burwood campus). She has a PhD of Electrical and Computer Engineering from RMIT and worked with Cook Medical and RMIT on multiple university-industrial collaborative projects for 4 years as a postdoctoral researcher, with research focus on computer vision, image processing, machine/deep learning and data analysis. She has 7 years of experience in high-quality collegiate teaching on engineering and computer science subjects. She has also designed and established digital platforms to support interdisciplinary projects in biomedical research, material and manufacturing research for automatic data characterisation, visualisation and analysing using MATLAB, C++ and R languages.

Email: zhe@intersect.org.au

Location:

University of Technology Sydney

Academic Background:

Ph.D., Computer Vision - ongoing
Masters in Dat Science & Artificial Intelligence
Bachelor in New Energy Materials and Devices

Personal Interests:

Data Science & Analytics, 3D Computer Vision.

Experiences:

3+ years of experience in Python Programming, 2+ years of experience in R Programming and Data Analysis.

Email: sesa@intersect.org.au

Location:

Monash University

Academic Background:

PhD, Faculty of Information Technology (ongoing)
Masters by Research, Computer Simulation and modelling
B.E., Computer Science and Engineering

Personal interests:

Developing and using machine learning algorithms and computer vision techniques for applications in ecology.

Experience:

3+ years as a sessional academic tutor, 5+ years of experience in IT industry.