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: 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.

Email: ravikiran@intersect.org.au

Location:

University of Canberra

Academic Background:

Ph.D., Affective Computing, Machine Learning/AI (ongoing)
M.Sc., Mathematics
B.Sc., Physics, Chemistry and Mathematics

Personal Interests:

Understanding and automatically inferring human emotions and behaviors using computational methods.

Experience:

4 years of experience in Research and Python. Experience in handling large-scale learning platforms (MOOC) and content creation.

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.