Co-operation, social learning & tool use

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Focus

I guide strategic deployment of AI algorithms (individual identification, tracking and posture) in context of social learning and tool use in animals. My aim is to design species-agnostic computer vision workflows for automated behavior coding. These projects are a series of ongoing collaborations involving wild birds and primates.

Cooperation & learning
in Siberian Jays

I am exploring cooperation and social learning in Siberian Jays with Dr. Alex Chan and Dr. Fumihiro Kano, Dr. Micheal Griesser and Dr. Miyako Warrington on the Siberian Jay project.

We want to study evolution of cooperation and learning by measuring behavior of Jays at the feeders and specialized puzzle boxes. We are developing an AI enabled toolkit for tracking social and spatial interactions from videos. The Siberian jay project consists of 37 year long dataset and we plan to deploy video based analysis to link behavior traits of individual animals with their fitness. The project is funded by CASCB (The Centre of the Advanced Studies of Collective Behavior) and I am advising leading strategic development for AI based monitoring.

Learning in
chimpanzee

We are trying to understanding the process of learning in wild and captive Chimpanzees. This project is in collaboration with Dr. Caroline Schuppli.

I am working with a master student and a PhD candidate on this project. Our goal is to automate the process of quantifying behavioral interactions between chimps and novel objects. Our cutting edge AI models will quantify behavioral actions and offer means to compare actions of different individuals. This method will result in enhancing our understanding of innovation of tool use and active learning.

Tool use and learning in
Capuchin monkeys

The project focuses on understanding the origins of tool use in Capuchin monkeys. The project is in collaboration with Dr. Brendan Barrett.

I am working with bachelor and master students to deploying object detection and posture tracking models with Capuchin monkeys. Our aim is to visually measure difference between the tool using techniques of individual monkeys. The AI workflow will simplify video based analysis and directly contribute towards linking nut cracking ability with growth and survival.

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Sensory ecology with 3D tracking of movement and behaviour

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Sleep ecology using nocturnal videography