“action-packed lectures and hands on workshops from the best in the bioinformatics field, from Australia and abroad.”

Liam Crowhurst Queensland University of Technology

Program

AEDT times below are for ACT, NSW, TAS, VIC
If you are joining from overseas please convert to your timezone

Day 1

TUESDAY 3 DECEMBER – Whole Cell Modelling
WA	NT	QLD	SA	AEDT	In partnership with MACSYS	Venue
				0900	REGISTRATION	Old Arts 122 Lecture Theatre
0640	0810	0840	0910	0940	Conference Opening – Welcome to Country – Welcome address, MACSYS – Opening address, AMSI	Old Arts 122 Lecture Theatre
0700	0830	0900	0930	1000	The E. coli Whole-Cell Modeling Project: catalyzing new discoveries and insight Professor Markus Covert, Ram Shriram Chair and Professor of Bioengineering, Stanford University	Old Arts 122 Lecture Theatre
0800	0930	1000	1030	1100	MORNING TEA	Arts Hall
					Chair: Dr Lucy Ham/Dr Sean Vittadello, The University of Melbourne
0830	1000	1030	1100	1130	Wholistic cell modelling Dr Adriana Zanca, The University of Melbourne	Old Arts 122 Lecture Theatre
0915	1045	1115	1145	1215	Designing Cells in Silico: Bridging Academia and Industry Dr Megan Coomer, Cell Bauhaus	Old Arts 122 Lecture Theatre
1000	1130	1200	1230	1300	LUNCH	Arts Hall
1100	1230	1300	1330	1400	WORKSHOP 1 (part 1) The fundamentals of whole-cell modelling: stochastic simulation with Julia Dr Lucy Ham, Dr Kaan Öcal and Dr Augustinas Šukys, The University of Melbourne	Old Arts 155
					WORKSHOP 2 (part 2) An Introduction to Algebraic Systems Biology Dr Sean Vittadello and Dr Michael Pan, The University of Melbourne	Old Arts 103
					WORKSHOP 3 (part 1) Version Control with Git presented by Melbourne Bioinformatics Vini Salazar, Melbourne Bioinformatics	Old Arts 124
1230	1400	1430	1500	1530	BREAK
1300	1430	1500	1530	1600	WORKSHOP 1 (part 2) The fundamentals of whole-cell modelling: stochastic simulation with Julia Dr Lucy Ham, Dr Kaan Öcal and Dr Augustinas Šukys, The University of Melbourne	Old Arts 155
					WORKSHOP 2 (part 2) An Introduction to Algebraic Systems Biology Dr Sean Vittadello and Dr Michael Pan, The University of Melbourne	Old Arts 103
					WORKSHOP 3 (part 2) Version Control with Git presented by Melbourne Bioinformatics Vini Salazar, Melbourne Bioinformatics	Old Arts 124
1400	1530	1600	1630	1700	WELCOME RECEPTION	Kenneth Myer Building
1500	1630	1700	1730	1800	Chair: Professor Kim-Anh Lê Cao, Melbourne Integrative Genomics Public lecture: Preparing for the age of genomic medicine Professor Daniel MacArthur, Garvan Institute of Medical Research and Murdoch Children’s Research Institute	Ian Potter Auditorium, Kenneth Myer Building

Day 2

WEDNESDAY 4 DECEMBER – Machine Learning and AI for Genomics
WA	NT	QLD	SA	AEDT	In partnership with Melbourne Integrative Genomics	Venue
				0845	REGISTRATION
					Chair: Dr Jiadong Mao, The University of Melbourne
0600	0730	0800	0830	0900	Spatial and temporal modeling of single-cell gene expression using deep learning Dr Ritambhara Singh, John E. Savage Assistant Professor of Computer Science and Data Science, Brown University	Old Arts 122 Lecture Theatre
0700	0830	0900	0930	1000	Matilda: Multi-task deep learning for integrative analysis of multimodal single-cell omics data Associate Professor Pengyi Yang, School of Mathematics and Statistics, University of Sydney; Children’s Medical Research Institute	Old Arts 122 Lecture Theatre
0730	0900	0930	1000	1030	MORNING TEA	Arts Hall
					Chair: Associate Professor Davis McCarthy, St Vincent’s Institute of Medical Research
0800	0930	1000	1030	1100	Decoding genomes with AI: limitations, challenges and opportunities Associate Professor Sonika Tyagi, RMIT University	Old Arts 122 Lecture Theatre
0830	1000	1030	1100	1130	Fast Forward Talks chaired by Ashley Weir, WEHI	Old Arts 122 Lecture Theatre
0915	1045	1115	1145	1215	LUNCH AND POSTER SESSION	Arts Hall
1030	1200	1230	1300	1330	WORKSHOP 4 (part 1) Large Language Model (LLM) pipelines using LangChain Dr Robert Turnbull, Melbourne Data Analytics Platform (MDAP), The University of Melbourne	Old Arts 103
					WORKSHOP 5 (part 1) Generative deep learning models for scRNA-seq data analysis Dr Jiadong Mao, Mr Sandeep Santhosh Kumar & Mr Xiaochen Zhang, Melbourne Integrative Genomics, The University of Melboourne	Old Arts 155
					WORKSHOP 6 (part 1) An introduction to machine learning in life sciences Dr Ben Goudey Research Fellow, Florey Department of Neuroscience and Mental Health and Centre for Cognitive Computing in Medical Technologies at the University of Melbourne	Old Arts 124
1200	1330	1400	1430	1500	BREAK
1230	1400	1430	1500	1530	WORKSHOP 4 (part 2) Large Language Model (LLM) pipelines using LangChain Dr Robert Turnbull, Melbourne Data Analytics Platform (MDAP), The University of Melbourne	Old Arts 103
					WORKSHOP 5 (part 2) Generative deep learning models for scRNA-seq data analysis Dr Jiadong Mao, Mr Sandeep Santhosh Kumar & Mr Xiaochen Zhang, Melbourne Integrative Genomics, The University of Melboourne	Old Arts 155
					WORKSHOP 6 (part 2) An introduction to machine learning in life sciences Dr Ben Goudey Research Fellow, Florey Department of Neuroscience and Mental Health and Centre for Cognitive Computing in Medical Technologies at the University of Melbourne	Old Arts 124
1400	1530	1600	1630	1700	CAREERS & INDUSTRY NETWORKING SESSION (in person only) Chair: Dr Adriana Zanca, The University of Melbourne Justin Mabbutt, APR.Intern Megan Coomer, Cell Bauhaus Gad Abraham, CSL Saber Dini, CSL Daniel Cameron, Illuminia Elana Fertig, Johns Hopkins University Miriam Yeung, Peter MacCallum Cancer Centre Sonika Tyagi, RMIT University Nadia Davidson, WEHI	Arts Hall

Day 3

THURSDAY 5 DECEMBER – Emerging Technologies
WA	NT	QLD	SA	AEDT	In partnership with WEHI	Venue
				0845	REGISTRATION
0600	0730	0800	0830	0900	Forecasting pancreatic carcinogenesis Professor Elana Fertig, Johns Hopkins Medicine	Old Arts 122 Lecture Theatre
0645	0815	0845	0915	0945	A long-read nanopore sequencing platform for Indigenous genomics Dr Andre Reis, Garvan Institute of Medical Research	Old Arts 122 Lecture Theatre
0730	0900	0930	1000	1030	MORNING TEA	Arts Hall
0800	0930	1000	1030	1100	Leveraging spatial information for statistical analysis in spatial transcriptomics data Dr Belinda Phipson, WEHI	Old Arts 122 Lecture Theatre
0830	1000	1030	1100	1130	Quantum bioinformatics and biocomputing Professor Lloyd Hollenberg, IBM Quantum Hub @ The University of Melbourne	Old Arts 122 Lecture Theatre
0900	1030	1100	1130	1200	LUNCH	Arts Hall
1000	1130	1200	1230	1300	WORKSHOP 7 (part 1) Hello Nextflow! presented by Australian BioCommons and the Sydney Informatics Hub Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney Dr Ziad Al Bkhetan, Product Manager, Bioinformatics Platforms, Australian BioCommons Dr Georgina Samaha, Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney	Old Arts 124
					WORKSHOP 8 (part 1) Deciphering the tumour microenvironment through the analysis of high-resolution spatial molecular data Dr Dharmesh Bhuva, The University of Adelaide & Dr Chin Wee Tan, WEHI	Old Arts 103
					WORKSHOP 9 (part 1) Analysis of long-read sequencing technology: Igniting full-length isoform and mutation analysis of single-cell RNA-seq data with FLAMES Changqing Wang and Dr Shian Su, WEHI	Old Arts 155
1130	1300	1330	1400	1430	BREAK
1200	1330	1400	1430	1500	WORKSHOP 7 (part 2) Hello Nextflow! presented by Australian BioCommons and the Sydney Informatics Hub Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney Dr Ziad Al Bkhetan, Product Manager, Bioinformatics Platforms, Australian BioCommons Dr Georgina Samaha, Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney	Old Arts 124
					WORKSHOP 8 (part 2) Deciphering the tumour microenvironment through the analysis of high-resolution spatial molecular data Dr Dharmesh Bhuva, The University of Adelaide & Dr Chin Wee Tan, WEHI	Old Arts 103
					WORKSHOP 9 (part 2) Analysis of long-read sequencing technology: Long-read methylation data analysis with NanoMethViz and Bioconductor Changqing Wang and Shian Su, WEHI	Old Arts 155
1330	1500	1530	1600	1630	CONFERENCE CLOSE	Old Arts 122 Lecture Theatre

This program outline is a guide and subject to change

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