Mr. Iko-Ojo Simon, BSc, MSc, is a PhD candidate researching Algorithm Debt in Machine Learning and Deep Learning Systems. He earned his Bachelor’s (Hons.) and Master of Science (MSc) degrees in Computer Science from the University of Jos, Nigeria.
Prior to starting his PhD, Iko-Ojo served as an Assistant Lecturer in the Department of Computer Science at the University of Jos, where he was involved in both research and teaching in the areas of Computer Science and Software Engineering.
He is currently a sessional academic at the Australian National University, where he tutors students in various Computer Science courses.
PhD candidate in Astrophysics at The University of Melbourne
Master's Degree, Astrophysics and Cosmology
Bachelor's degree, Astronomy
Experience:
Manu is a PhD candidate in Astrophysics at The University of Melbourne. His research focuses on the origin of stars and galaxies in the Universe. Specifically, he develops simulations of the Universe during its first billion years and uses these simulations to interpret and predict real-world observations.
Master of Public Health - MPH, Reproductive and Child
BSc, Public Health
Experience:
Eskedar Mekonnen is a Digital Research Trainer at Intersect Australia. She is also a PhD candidate at the Robinson Research Institute, University of Adelaide. With a background in Epidemiology, Eskedar possesses extensive skills in research design and analysis. Eskedar has years of experience working with diverse data types and analysis methods, including Machine Learning and longitudinal data collection and analysis. She is skilled in various research software programs, including R, Qualtrics, and REDCap.
Leta holds a Bachelor’s degree in public health from Dilla University (2017) and a Master’s of Public Health in Epidemiology from Jimma University (2020), Ethiopia. He has served as a lecturer and researcher at Salale University, where he taught courses such as Epidemiology, Research Methods, and Data Management while also taking on various academic positions. Currently, Leta is pursuing a PhD in Genetic Epidemiology, focusing on the intriguing roles of human endogenous retroviruses in neurodegenerative diseases.
Dr. Hamideh Iraj is a Digital Research Trainer at Intersect Australia. She has a strong track record of completing quantitative projects in different domains. She is very keen on using her analytical, programming and machine learning skills to solve real-world problems.
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.
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.
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.
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:
Seng Hansun is a PhD candidate in South West Sydney, UNSW Medicine & Health, UNSW Sydney. His research focuses on the machine and deep learning area for Tuberculosis disease detection. He has extensive experience in learning and teaching programming languages, including Python and R, for more than 10 years. He is also an enthusiast in artificial intelligence and machine learning domain.
