The ANU Software Innovation Institute are working on technology solutions to support COVID-19 response and other essential projects. Meet some of the ANU students, who bring skills in data science, software engineering and privacy, to the cross disciplinary team.
Haotian is currently pursuing the ANU Bachelor of Information Technology (Honours). Haotian’s honours project is on Homomorphically Encrypted Time Series Analysis with a goal to develop a set of building blocks for time series analysis such as ARMA filter to showcase them on several applications. Haotian is also working on the Tor Universe project in ANU Cybercrime Observatory that involves implementing a Dark Web crawler and classifying the domains in the Dark Web universe.
Haotian will be working on the COVID-19 Real-time Information System for Preparedness and Emergency Response (CRISPER) project with the Software Innovation Institute and the Research School of Population Health, which aims to provide comprehensive information of COVID-19 spread for Australian doctors. Haotian’s main responsibilities include pre-processing and managing COVID-19 data from Australian states and territories, importing the data into the data engine, implementing an alert system, and developing the dashboard to gauge the spread of COVID-19.
Haotian depicts himself as a “software engineer who keeps moving and stays hungry”. He says that seeing the difference he makes to organisations is the most rewarding part of his work in this field.
Jingjing Shi recently completed the ANU Master of Computing specialising in Data Science this year. Her final year project was in the domain of natural language processing and entitled Applying Natural Language Inference or Question Entailment for Crowdsourcing More Data. Jingjing is excited to join the Software Innovation Institute to bring the latest techniques in data science, computer science and epidemiology to the challenge of COVID-19 epidemic response. A role in which she intends to excel due to her enthusiasm to solve real-life problems through coding. Jingjing plans to be a data scientist one day.
Alex is a first year PhD student at ANU and has recently joined the Software Innovation Institute as a Software Engineer. Her PhD focuses on developing approaches to decode signals generated by Oxford Nanopore Technology’s DNA and RNA sequencing platforms. This involves the use of deep learning and signal processing techniques to identify nucleotide sequences from noisy electric current signals. In addition to the PhD, Alex is working on the CRISPER project, focusing on generation of COVID-19 alerts in a doctor's regions of interest. Prior to starting at ANU, she worked as a Software Engineer at Saluda Medical and completed a Bachelor’s Degree in Biomedical Engineering and Science, majoring in Computer Science, at The University of Sydney. Her career interests include using software and data for the benefit of human health.