Digital Research Trainers

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.

Email: emran@intersect.org.au

Location:

Deakin University

Email: esmaeel@intersect.org.au

Location:

Melbourne

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.

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: 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.

Email: soujanya@intersect.org.au

Location:

University of Canberra

Academic Background:

PhD, Human-Centred Technology Research Centre (ongoing)

Masters of Science (Mathematics) Bachelor of Science Education

Personal Interests:

Using machine learning and computer vision approaches for simultaneously modelling human mood and emotions, mainly to understand human behaviour.

Experience:

3+ years of research experience, 2+ years of experience as academic tutor.

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.

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.