My publications: Google Scholar and go here to download the papers.
I am currently a DECRA Fellow (2020-2022), and before that, an NHMRC ECR Fellow in Bioinformatics/Computational Biology (2017-2019). Bioinformatics is an inter-disciplinary research area which uses knowledge in Computer Science, Mathematics, and Statistics to solve biological problems. My research focuses on the development of causal inference methods and their applications in Bioinformatics, particularly in gene regulatory networks, cancer drivers, non-coding RNAs, and cancer subtype discovery.
I have a diverse educational background with BSc and MSc in... Read more
About me
My publications: Google Scholar and go here to download the papers.
I am currently a DECRA Fellow (2020-2022), and before that, an NHMRC ECR Fellow in Bioinformatics/Computational Biology (2017-2019). Bioinformatics is an inter-disciplinary research area which uses knowledge in Computer Science, Mathematics, and Statistics to solve biological problems. My research focuses on the development of causal inference methods and their applications in Bioinformatics, particularly in gene regulatory networks, cancer drivers, non-coding RNAs, and cancer subtype discovery.
I have a diverse educational background with BSc and MSc in Mathematics, BSc in Computer Science, and PhD in Data Science. I have been awarded the Ian Davey Thesis Prize for the most outstanding PhD thesis at UniSA, a visiting researcher at the University of Michigan in 2015, and a visiting professor at the University of Pennsylvania in 2019.
I am also teaching data science courses for the Master of Data Science program.
Please feel free to contact me for collaborations and/or research degree supervision.
About me
About me
Date | Title |
---|---|
19/05/2015 |
The Lead South Australia, http://www.theleadsouthaustralia.com.au/industries/health/bioinformatics-points-the-way-to-cancers-genetic-causes/ |
About me
Doctor of Philosophy University of South Australia
Bachelor of Science University of South Australia
My research focuses on the development of causal inference methods and their applications in Bioinformatics, particularly in gene regulatory networks, cancer drivers, non-coding RNAs, and cancer subtype discovery.
Research
Excludes commercial-in-confidence projects.
Maxima Training Group (Aust) Limited Scholarship, Maxima Training Group (Aust) Limited, 01/10/2019 - 30/06/2023
Next generation causal inference methods for biological data, ARC - Discovery Early Career Researcher Award, 01/01/2020 - 31/12/2022
System biology approaches to uncovering non-coding RNAs' roles in characterising cancer subtypes, NHMRC - Early Career Fellowship, 01/01/2017 - 31/12/2020
Research
Research outputs for the last seven years are shown below. To see earlier years visit ORCID, ResearcherID or Scopus
Open access indicates that an output is open access.
Year | Output |
---|---|
2015 |
Li, J, Liu, L & Le, TD 2015, Practical approaches to causal relationship exploration, Springer, US. |
Year | Output |
---|---|
2020 |
|
2019 |
|
Year | Output |
---|---|
2022 |
1
1
|
2022 |
Open access
1
1
|
2022 |
1
2
|
2021 |
Open access
1
2
4
|
2021 |
1
2
|
2021 |
Open access
2
|
2021 |
56
62
1
|
2021 |
2
2
|
2021 |
Open access
1
9
|
2021 |
2
|
2021 |
Open access
1
1
|
2021 |
Open access
|
2021 |
2
1
1
|
2020 |
Open access
1
9
|
2020 |
1
84
|
2020 |
Open access
3
1
11
|
2020 |
Open access
2
1
|
2020 |
Open access
2
1
|
2020 |
Open access
8
7
13
|
2020 |
Open access
12
11
32
|
2020 |
Open access
8
3
|
2019 |
Open access
5
7
27
|
2019 |
Open access
74
74
109
|
2019 |
Open access
28
23
3
|
2019 |
Open access
|
2019 |
Open access
|
2019 |
Open access
7
8
5
|
2019 |
Open access
9
10
5
|
2019 |
Open access
3
2
4
|
2019 |
Open access
27
25
|
2019 |
Open access
21
21
4
|
2019 |
Open access
5
5
|
2018 |
Open access
9
7
1
|
2018 |
Open access
30
25
1
|
2018 |
Open access
20
19
1
|
2018 |
44
42
3
|
2018 |
Open access
3
2
1
|
2017 |
Open access
58
54
2
|
2017 |
Open access
26
17
1
|
2017 |
10
11
|
2017 |
Open access
16
16
4
|
2017 |
Open access
86
87
17
|
2017 |
Open access
15
14
2
|
2017 |
Open access
21
18
2
|
2016 |
Open access
14
9
|
2016 |
Open access
21
17
2
|
2016 |
Open access
12
14
2
|
2016 |
Open access
48
35
8
|
2016 |
9
7
1
|
2016 |
8
8
1
|
2015 |
Open access
26
23
2
|
2015 |
Open access
25
19
2
|
2015 |
Open access
21
9
8
|
2015 |
Open access
27
10
1
|
2014 |
Open access
16
9
3
|
2014 |
Open access
21
20
|
2013 |
Open access
37
37
3
|
2013 |
Open access
60
57
4
|
Year | Output |
---|---|
2021 |
|
2021 |
1
|
2021 |
Open access
31
|
2020 |
Open access
1
|
2020 |
|
2020 |
|
2020 |
|
2019 |
Open access
2
1
|
2018 |
5
|
2017 |
2
|
2017 |
4
4
|
2013 |
31
24
2
|
2012 |
21
16
|
Year | Output |
---|---|
2017 |
Le, TD 2017, Causal inference methods and applications in Bioinformatics: A Summary, Australia.
Open access
|
Research
My research focuses on the development of causal inference methods and their applications in Bioinformatics, particularly in gene regulatory networks, cancer drivers, non-coding RNAs, and cancer subtype discovery.
Associate Editor:
Conference/workshop Organiser of:
Program committee chair/member of:
Paper reviewer for:
Grant reviewer for:
External engagement & recognition
Organisation | Country |
---|---|
Agency for Science Technology & Research (ASTAR) | UNITED STATES |
Children's Cancer Institute Australia | AUSTRALIA |
Chinese Academy of Sciences | CHINA |
Consilium Technology Pty Ltd | AUSTRALIA |
CSIRO Australia (Commonwealth Scientific Industrial Research Organisation) | AUSTRALIA |
Dali University | CHINA |
Deakin University | AUSTRALIA |
East China Normal University | CHINA |
Griffith University | AUSTRALIA |
Heidelberg University | GERMANY |
Heifei University of Technology | CHINA |
Icahn School of Medicine at Mount Sinai | UNITED STATES |
Infinia ML | UNITED STATES |
Institute of Medical and Veterinary Science | AUSTRALIA |
Jiangsu Normal University | CHINA |
Jiangsu University of Technology | CHINA |
Kanazawa University | JAPAN |
Kunming University of Science and Technology | CHINA |
La Trobe University | AUSTRALIA |
Max Delbrück Center for Molecular Medicine in the Helmholtz Association | GERMANY |
Maxima Training Group (Aust) Ltd. | AUSTRALIA |
Microsoft | AUSTRALIA |
Nanjing University | CHINA |
Nanjing University of Science and Technology | CHINA |
National University of Singapore | SINGAPORE |
Nha Trang University | VIET NAM |
Pham Ngoc Thach University of Medicine | VIET NAM |
SA Pathology | AUSTRALIA |
TJ Watson Research Center | UNITED STATES |
Tufts University | UNITED STATES |
University Libre Bruxelles | BELGIUM |
University of Adelaide | AUSTRALIA |
University of British Columbia | CANADA |
University of Electronic Science and Technology of China | CHINA |
University of Lausanne | SWITZERLAND |
University of Massachusetts Boston | UNITED STATES |
University of Michigan | UNITED STATES |
University of New England | AUSTRALIA |
University of Pennsylvania | UNITED STATES |
University of Science and Technology of China | CHINA |
University of South Australia | AUSTRALIA |
University of Tasmania | AUSTRALIA |
Walter and Eliza Hall Institute of Medical Research | AUSTRALIA |
Zhejiang Normal University | CHINA |
External engagement & recognition
Engagement/recognition | Year |
---|---|
Academic EditorPLOS One |
2020 |
ARC Grant ReviewerAustralian Research Council Discovery |
2020 |
Associate EditorBMC Cancer Journal |
2020 |
Discovery Early Career Researcher AwardAustralian Research Council Discovery |
2020 |
HDR Thesis ExaminerUniversity of Sydney |
2020 |
HDR Thesis ExaminerDeakin University |
2020 |
Academic EditorPLOS One |
2019 |
PC Co-chair of Australasian Data Mining ConferenceAustralian Computer Society (ACS) |
2019 |
Visiting ProfessorUniversity of Pennsylvania |
2019 |
Conference and Workshop OrganiserACM SIGKDD Workshop on Causal Discovery |
2018 |
Early Career FellowshipNational Health and Medical Research Council (NHMRC) |
2018 |
MemberAustralian Bioinformatics Network |
2018 |
MemberThe Australian Bioinformatics And Computational Biology Society (ABACBS) |
2018 |
MemberAssociation for Computing Machinery (ACM) SIG-Bioinformatics |
2018 |
Professional MemberAssociation for Computing Machinery (ACM) |
2018 |
Professional MemberInstitute of Electrical and Electronics Engineers (IEEE) |
2018 |
Early Career FellowshipNational Health and Medical Research Council (NHMRC) |
2017 |
MemberThe Australian Bioinformatics And Computational Biology Society (ABACBS) |
2017 |
MemberAssociation for Computing Machinery (ACM) SIG-Bioinformatics |
2017 |
MemberAustralian Bioinformatics Network |
2017 |
Professional MemberAssociation for Computing Machinery (ACM) |
2017 |
Professional MemberInstitute of Electrical and Electronics Engineers (IEEE) |
2017 |
Program Committee MemberInternational Conference on Bioinformatics InCOB |
2017 |
Board MemberBioInfoSummer, University of Adelaide |
2016 |
Conference and Workshop OrganiserBioinfoSummer |
2016 |
ContributorMovember Foundation |
2016 |
Early Career FellowshipNational Health and Medical Research Council (NHMRC) |
2016 |
HDR Thesis ExaminerDeakin University |
2016 |
Program Committee Member, Causality Workshop22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016) |
2016 |
Runner-up prize for DREAM challengeDREAM |
2016 |
Cancer Research Fund Raising CampaignMovember Foundation |
2015 |
Interviewed by The LEAD South Australia about bioinformatics research and the success in PhD research thesisThe LEAD South Australia |
2015 |
Invited by the SA Governor as an SA emerging scientist to talk to the HRH The Duke of Kent during his visit to AustraliaGovernment of South Australia |
2015 |
Teaching & student supervision
Teaching & student supervision
Supervisions from 2010 shown
Thesis title | Student status |
---|---|
"Developing causal inference methods for personalized medicine usingsingle-cell sequencing data" | Current |
Causal inference methods for identification of subtypes of cancer based on multi-levelled biological data | Current |
Computational modelling for breast cancer prognosis in precision medicine | Current |
Develop causal outcome prediction models for trustworthy interpretation | Current |
Group and individual fairness in machine learning | Current |
Intervention recommendation for disability employment service | Current |
Computational causal discovery from observational data and application in bioinformatics | Completed |
Dependency-based anomaly detection and applications | Completed |
Developing data mining methods for finding causal relationships involving multiple factors | Completed |
Developing network inference methods for cancer driver discovery | Completed |