Events
Explore upcoming events at the Biological Data Science Institute. Attend seminars, workshops, and conferences to connect with leading experts and advance your knowledge in biological data science.
Upcoming events
The Two-Step Tumor Tango: Quick Plasma Clues for Cancer Detection
Originally from the wild jungles of Borneo, David somehow found his way to becoming a research scientist at the Irradiation Immunity Interaction (i-Cube) Laboratory at the John Curtin School of Medical Research (JCSMR).Past events
Elle will unveil the secrets behind her work on the gill microbiome of Atlantic Salmon, exploring its variation, heritability, and the implications of distance measures in her research.
Navigating Sparse Data and Weak Signals: Fine-Grain Analysis for Agricultural and Space Applications
The scarcity of data and the challenge of analysing fine-grain details and weak signals are common issues across diverse fields, including agriculture and space exploration. This presentation will delve into advanced methodologies for addressing these challenges.
The study seeks to analyse the fiber content of plant samples using two different filter bags, which yield different results due to particle size differences. F57 filter bags, intended for larger particles, result in significant particle loss and produce less reliable Acid Detergent Fiber (ADF) readings. F58 filter bags, designed for finer particles, provide more accurate and reliable ADF measures.
Masters Project. This research explores the potential of deep learning techniques to predict genetic mutations from Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) of tumor tissues.
Dr. Sehrish Kanwal will share her experience as a participant in the international rOpenSci Champions Program for 2024. Renowned for its cohort-based training, project development, and personalised mentorship, provides a platform for researchers to champion open science principles and practices.
Score matching, introduced by Hyvärinen (2005), is an estimation technique that circumvents the challenge of intractable normalizing constants in model densities.
Since the early twenty-first century, female life expectancy has consistently exceeded that of males worldwide.
Deep graph matching techniques have shown promising results in recent years. In this work, we cast deep graph matching as a contrastive learning task and introduce a new objective function for contrastive mapping to exploit the relationships between matches and non-matches.
Explore an overview on several teaching initiatives and development in Statistics at Macquarie University over the last couple of years, including ASA DataFest, the revamping of the Statistics Major in the Bachelor of Science (BSc) program and if time permits, the establishment of the Alumni Connection Lead role within the school.