Dr. Daniel Beck
Senior Lecturer
Details
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Department: School of Computing Technologies
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Campus: City Campus Australia
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daniel.beck@rmit.edu.au
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ORCID:
0000-0001-9560-2773
Open to
- Collaborative projects
- Industry Projects
- Masters Research or PhD student supervision
- Media enquiries
- Join a web conference as a panellist or speaker
- Career advice
- Mentoring (long-term)
- Mentoring (short-term)
- Teaching provision
- Membership of an advisory committee
About
I am a Senior Lecturer at RMIT University. My research is on Applied Machine Learning and Natural Language Processing, in particular within interdisciplinary areas. I am also an Honorary Senior Fellow at The University of Melbourne. I am part of the Center for Human-AI Information Environments (CHAI) and was previously part of the now completed ARC Training Centre in Cognitive Computing for Medical Technologies.
Research fields
- 4602 Artificial intelligence
- 4609 Information systems
- 4611 Machine learning
- 4704 Linguistics
- 4804 Law in context
- 4605 Data management and data science
- 4203 Health services and systems
- 4601 Applied computing
UN sustainable development goals
- 4 Quality Education
- 9 Industry, Innovation and Infrastructure
Academic positions
- Senior Lecturer
- RMIT University
- School of Computing Technolgies
- Melbourne, Australia
- 14 Jan 2024 – Present
- Lecturer
- The University of Melbourne
- School of Computing and Information Systems
- Melbourne, Australia
- 1 Jul 2019 – 13 Jan 2024
- Research Fellow
- The University of Melbourne
- School of Computing and Information Systems
- Melbourne, Australia
- 1 Nov 2016 – 30 Jun 2019
Supervisor projects
- Trust and Interpretability in Language Technologies
- 25 Aug 2025
- Between activism and literacy: The mediatization of data journalism in Indonesia
- 3 Mar 2025
- Can large language models provide investment advice like humans? Fine-tune LLMs to f inance domain and predict stock trading signals with comprehensive explanation
- 20 Jan 2025
Teaching interests
While I started my teaching career on NLP and ML-related topics, these days I tend to focus on core theoretical Computer Science courses both at undergraduate and postgraduate levels.
- 2024-2026: MATH2466 – Introduction to Mathematics for Computing, COSC3045 – Essentials of Computing
- 2023: COMP20007 – Design of Algorithms, COMP90057 – Advanced Theoretical Computer Science (Unimelb)
- 2022: COMP20007 – Design of Algorithms (Unimelb), COMP90076 – Social Analytics (Unimelb)
- 2020-2021: COMP20007 – Design of Algorithms (Unimelb), BUSA90542 – Machine Learning & AI for Business (Unimelb)
- 2017: COMP90042 (Unimelb) – Natural Language Processing (Co-Lecturer)
- 2013: Introduction to Programming, Text Processing (Tutor, at Sheffield)
- 2009: Formal Languages and Automata (Tutor, at UFRGS)
Research interests
- Natural Language Processing
- Machine Learning
- Data Science
- Digital Health
- Digital Law
- Computational Social Sciences
- Interdisciplinary Applications
