Donald Wlodkowic

Professor Donald Wlodkowic

Professor

Details

Open to

  • Masters Research or PhD student supervision

About

Professor Donald Wlodkowic leads an interdisciplinary research program at the Department of Biology, RMIT University, focused on the origins and mechanisms of adaptive behaviour, proto-cognition, and minimal intelligence in simple lifeforms.

 

His laboratory develops innovative experimental technologies and computational methods to investigate how organisms with minimal or absent neural complexity sense, navigate, learn, remember, and adapt to dynamic environments. This research spans diverse aquatic and terrestrial model systems—from aneural organisms and simple invertebrates to crustaceans and larval vertebrates—with particular emphasis on the evolutionary foundations of goal-directed behaviour, decision-making, and motivational systems.

 

Donald is internationally recognized for pioneering advanced behavioural phenotyping platforms for small model organisms, including programmable multisensory environments, biomicrofluidic systems, real-time AI-enabled animal tracking, and high-throughput video-based behavioural analytics. His research integrates behavioural neuroscience, experimental biology, computational phenotyping, and bioengineering to establish scalable, reproducible approaches for studying behavioural plasticity, learning, sensory integration, and environmental modulation of cognition-like processes.

 

A central focus of his current work is the development of rigorous experimental frameworks to operationally investigate proto-cognitive phenomena including baseline sensory preferences, habituation and sensitization, associative conditioning, memory retention across delays, and adaptive decision-making in evolutionarily ancient organisms. His laboratory is also developing next-generation AI-assisted tools for interpretable automated behavioural analysis and comparative phenomics across species, developmental stages, and environmental contexts.

 

Alongside fundamental cognition research, Donald maintains active engagement in behavioural ecotoxicology, investigating how environmental pollutants and stressors disrupt adaptive behaviours and proto-cognitive capacities. This work leverages ecotoxicological perturbations as experimental tools to dissect the mechanisms underlying basal intelligence.

 

Donald's broader research vision bridges experimental biology, artificial intelligence, evolutionary neuroscience, and philosophy of mind to advance understanding of the origins, diversity, and minimal requirements of cognition across life. He has extensive international experience leading interdisciplinary collaborations across Australia, New Zealand, and Europe, and is a passionate educator committed to modernizing bioscience teaching through innovative digital learning technologies.

Supervisor projects

  • Investigating Perturbations of Emerging Pollutants on Animal Behaviour
  • 28 Apr 2026
  • Nanotoxicology investigations into aquatic plants and crustaceans
  • 19 Jun 2025
  • Are Simple Brains Simply Automatons? Uncovering Minimal Intelligence in Freshwater and Marine Amphipods
  • 13 Dec 2024
  • Minimal Minds: Decoding Behavioural Plasticity and Proto-Cognitive Traits in Shrimps.
  • 12 Dec 2024
  • Shining a Light on the Dark Side of Pollution: Unravelling the Impact of Emerging Contaminants on the Phototactic Responses of Aquatic Animals.
  • 13 Feb 2024
  • Diving into the Unknown: Investigating the Perturbations of Emerging Pollutants on Aquatic Animal Behavior
  • 14 Nov 2023
  • Development and Validation of Chronic Epilepsy Models using Zebrafish as an Alternative to Rodents
  • 20 Apr 2023
  • Shining a Light on the Dark Side of Pollution: Unravelling the Impact of Emerging Contaminants on the Phototactic Responses of Aquatic Animals
  • 28 Feb 2023
  • Towards High-throughput Chemobehavioral Phenotypic Screening in Drug Discovery and Neurotoxicology
  • 22 Aug 2019
  • Towards a Higher-throughput Chemobehavioural Phenomics Using Small Model Organisms
  • 1 Mar 2018
  • Neurobehavioral and Mechanistic Sub-lethal Studies in Aquatic Toxicology on Potential Micro-pollutants.
  • 29 Feb 2016
  • Innovative Lab-on-a-Chip technologies for real-time analysis of sub-lethal endpoints in aquatic macroinvertebrates 
  • 12 May 2014

Teaching interests

Supervisor Interests:

  • Origins and evolution of cognition in simple lifeforms
  • Proto-cognitive processes: learning, memory, decision-making in minimal nervous systems
  • Comparative animal cognition across aquatic and terrestrial model systems
  • Learning, memory, and adaptive behaviour in invertebrates
  • Adaptive behaviours and behavioural plasticity
  • Sensory integration and navigation
  • Goal-directed behaviours and motivational systems
  • Non-associative and associative conditioning
  • Behavioural ecotoxicology and cognitive disruption by environmental stressors
  • Technology development for quantitative behavioural research

 

Professor Wlodkowic’s undergraduate teaching curriculum includes courses in cell biology and biochemistry :

  • BIOL2146 Cell Biology & Biochemistry (course coordinator)

 

Professor Wlodkowic serves also as a Manager of the Higher Degree by Research (HDR) postgraduate programs in the Department of Biology (MR231 - Masters by Research in Biology and DR231 Doctorate in Biology)

 

Research interests

Key words:

Origins of cognition, minimal intelligence, diverse intelligence, evolutionary neuroscience, proto-cognitive processes, adaptive behaviour, behavioural plasticity, learning in simple organisms, memory without brains, goal-directed behaviour, automated behavioural phenotyping, comparative cognition, aquatic models, behavioural ecotoxicology

Current research projects

  • Proto-cognitive processes in evolutionarily simple organisms — Experimental investigation of associative conditioning, habituation, memory retention, and decision-making in minimal nervous systems
  • Sensory integration and navigation in evolutionary ancient organisms — Mapping phototactic, thermotactic, chemotactic, and spatial preference behaviors across invertebrate phyla
  • Goal-directed behaviors and motivational systems — Studying obstacle negotiation, shelter-seeking, exploration, and route optimization in organisms with minimal neural complexity
  • Comparative behavioral phenomics — Cross-species analysis of learning capacity, sensory-motor integration, and behavioral plasticity using standardized assay batteries
  • Behavioural ecotoxicology — Investigating how environmental pollutants and neuroactive compounds disrupt learning, memory, and adaptive behavioral plasticity
  • High-throughput behavioral phenotyping platforms — Development of AI-enabled automated tracking, stimulus delivery, and quantitative analysis systems for aquatic and terrestrial models
  • Programmable multisensory experimental environments — Engineering new experimental systems for precise spatiotemporal control of behavioral stimuli
  • Machine learning for automated ethology — Developing interpretable AI tools for behavioral state classification, trajectory analysis, and detection of proto-cognitive signatures

Initiatives and links

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