MCDS Doctoral Academy

A campus wide multi-disciplinary program for PhD students using data science in their work.

About the program

The MCDS Doctoral Academy aims to bring together a campus wide multi-disciplinary cohort of PhD students (MCDS Doctoral Academy Fellows) to share their research, domain challenges and thoughts around the use, implementation and application of data science in their fields.

The Academy will support the Fellows through peer-learning opportunities, masterclasses, workshops, discussions, opportunities for presentations and more. Such a mixed environment will expose students to different disciplinary perspectives and stimulate the development of new approaches to the ways in which data science is incorporated in research.

The program is ideal for students who:

  • Enjoy engaging in cross-disciplinary research skills development and desire to build practical skills
  • Seek to explore ways that data science methodologies can be used and advanced within their research
  • Appreciate building a community of young researchers who consider data science matters in their field at the University of Melbourne

2022 Doctoral Academy Fellows

  • Andrew Brown
    Andrew Brown

    Research: Severe convective winds in Australia and their sensitivity to climate change
    Supervisor: Prof Todd Lane
    School of Geography, Earth and Atmospheric Sciences 
    Faculty of Science

  • Sagrika Chugh
    Sagrika Chugh

    Research: Developing and benchmarking methods for multi-omics single-cell quantitative trait locus mapping in complex diseases
    Supervisors: Dr Davis McCarthy and Dr Heejung Shim
    School of Mathematics and Statistics - Biosciences 
    Faculty of Science

  • Zheng Fan
    Zheng Fan

    Research: A Hierarchical Markov-switching Model for Bull and Bear Markets
    Supervisor: Dr Yong Song and A/Prof Ole Maneesoonthorn
    Department of Economics 
    Faculty of Business and Economics

  • James Kelleher
    James Kelleher

    Research: Improving practical applications of dynamic occupancy models
    Supervisors: Dr Gurutzeta Guillera-Arroita and Dr Natalie Briscoe
    School of Ecosystem and Forest Sciences 
    Faculty of Science of Science

  • Thao Le
    Thao Le

    Research: Explaining the Uncertainty in AI-Assisted Decision Making
    Supervisors: Prof Tim Miller, Prof Liz Sonenberg and Dr Ronal Singh
    School of Computing and Information Systems 
    Faculty of Engineering and Information Technology

  • Kevin Newman
    Kevin Newman

    Research: Optimising and Improving Species Detections
    Supervisors: Prof Mick McCarthy and Dr Gurutzeta Guillera-Arroita
    School of Ecosystem and Forest Sciences 
    Faculty of Science

  • Martin Saint Jalmes
    Martin Saint-Jalmes

    Research: Using modern Machine Learning for the probabilistic modelling of dementia
    Supervisors: Dr Victor Fedyashov, Dr Benjamin Goudey, Dr. Daniel Beck and Dr. Pierrick Bourgeat
    Florey Department of Neuroscience and Mental Health
    Faculty of Medicine, Dental and Health Sciences

  • Prabodi Senevirathna
    Prabodi Senevirathna

    Research: Quantifying and Mitigating Digital Overdiagnosis
    Supervisors: Dr Daniel Capurro and Dr Douglas Pires
    School of Computing and Information Systems
    Faculty of Engineering and Information Technology

  • Emily Spackman
    Emily Spackman

    Research: Toward better characterisation of restricted and repetitive behaviours in Autistic Youth
    Supervisors: Dr Mirko Uljarevic and A/Prof Luke Smillie
    Complex Human Data Hub School of Psychological Sciences 
    Faculty of Medicine, Dentistry and Health Sciences

  • Onur Tumturk
    Onur Tumturk

    Research: A data-driven model of urban form evolution: quantitative analysis of long-term spatial transformation in the city centres of Melbourne, Barcelona and New York
    Supervisors: Prof Justyna Karakiewicz and Dr Fjalar de Haan
    Faculty of Architecture, Building and Planning

  • Haihang Wu
    Hai-Hang Wu

    Research: Continual learning by Efficient Neural Network Synthesis
    Supervisors: Prof Saman Halgamuge and Prof Denny Oetomo
    Department of Mechanical Engineering
    Faculty of Engineering and Information Technology

  • Ye Zhang
    Ye Zhang

    Research: Risk prediction for metachronous colorectal cancer among colorectal cancer survivors
    Supervisors: Prof Mark Jenkins, A/Prof Aung Ko Win, Dr Amalia Karahalios, and Prof Alex Boussioutas
    Melbourne School of Population and Global Health
    Faculty of Medicine, Dental and Health Sciences

2021 Doctoral Academy Fellows

  • Kamal Akbari
    Kamal Akbari

    Research: Spatial causal inference analysis
    Supervisors: Dr Martin Tomko and Prof Stephan Winter
    School of Infrastructure Engineering 
    Faculty of Engineering and Information Technology

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    Prakrut Chaubal

    Research: Non gaussianity and secondary cosmic microwave background anisotropies in the south pole telescope data
    Supervisor: Dr Christian L. Reichardt
    School of Physics 
    Faculty of Science

  • Jean Linis Dinco
    Jean Linis Dinco

    Research: Analysis of an ongoing conflict through the lens of media frames
    Supervisors: Prof Robert Hassan and Dr Philip Pond
    School of Culture and Communication 
    Faculty of Arts

  • Elliot Gould
    Elliot Gould

    Research: Reproducibility and transparency of model-based research in applied ecology and conservation decision-making
    Supervisors: Dr Libby Rumpff, Prof Fiona Fidler, and Dr Hannah Fraser
    School of BioSciences 
    Faculty of Science

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    Kaitlyn Hammond

    Research: Natural disturbance-based models for silviculture in the Victorian Central Highlands
    Supervisors: Prof Patrick Baker and A/Prof Craig Nitschke
    School Ecosystem and Forest Sciences 
    Faculty of Science

  • Vivek Katial
    Vivek Katial

    Research: Instance space analysis of quantum optimisation algorithms
    Supervisors: Prof Kate Smith-Miles and Dr Charles Hill
    School of Mathematics and Statistics 
    Faculty of Science

  • Shima Khanehzar
    Shima Khanehzar

    Research: A data driven model of agenda setting in Australian politics
    Supervisors: Prof Andrew Turpin and Dr Gosia Mikolajczak
    School of Computing and Information Systems
    Faculty of Engineering and Information Technology

  • Symbol Mokhles
    Sombol Mokhles

    Research: An evidence-based approach to climate change experimentation in international city networks
    Supervisors: Dr Kathryn Davidson and Prof Michele Acuto
    Melbourne School of Design
    Faculty of Architecture, Building and Planning

  • Elle Pattenden
    Elle Pattenden

    Research: An examination of the motivations underlying, and consequences of, social network dynamics for the resolution of environmental collective action problems, using "gamified" experiments and simulations (agent-based models)
    Supervisors: Prof Yoshihisa Kashima and A/Prof Andrew Perfors
    Melbourne School of Psychological Sciences 
    Faculty of Medicine, Dentistry and Health Sciences

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    James Paynter

    Research: Time domain gravitational lensing
    Supervisor: Prof Rachel Webster
    School of Physics 
    Faculty of Science

  • Ifrah Saeed
    Ifrah Saeed

    Research: Model-based and Hybrid Multiagent Reinforcement Learning in Internet of Things
    Supervisors: Prof Tansu Alpcan and Dr Sarah M. Erfani
    School of Electrical and Electronic Engineering 
    Faculty of Engineering and Information Technology

  • Ann Ann Diana Tay
    Ann Ann Diana Tay

    Research: Exploring embodied values in Singaporean paintings through technical examination and data analysis
    Supervisors: Dr Nicole Tse and Prof Robyn Sloggett
    Grimwade Centre for Cultural Materials Conservation
    Faculty of Arts

  • Zhoufeng Ye
    Zhoufeng Ye

    Research: Understanding breast cancer risk via an automated measure based on mammographic textural features: Cirrus
    Supervisors: Prof John Hopper, Dr Shuai Li, Dr Gillian Dite, and Dr Tuong Linh Nguyen
    Melbourne School of Population and Global Health
    Faculty of Medicine, Dental and Health Sciences