Dr. Pritish Chakravarty
PostdocMain Focus
I am interested in animal sleep and foraging. I trained as an engineer with a specialization in signal processing, algorithm development, and wearable sensors, and transitioned into animal ecology for my PhD. My current work focuses on studying sleep using accelerometer data collected from free-ranging social animal species.
Other past/ongoing projects in animal ecology include: behavior recognition, energetics and foraging in meerkats (EPFL; UZH), effects of visual noise on foraging in fish (University of Cambridge); movement patterns of leopard tortoises (EPFL; UZH).
Past projects in biomedical engineering include: tissue analysis using 3D models constructed from MRI scans (CHUV; Stanford University); point-of-care blood diagnostics using fluid focusing in microchannels (IIT Bombay).
Curriculum Vitae
Experience
- 2022- : Postdoctoral Researcher in animal sleep analysis, Max Planck Institute of Animal Behavior, Konstanz, Germany
- 2021-22: Postdoctoral Research Associate in modeling the effects of visual noise on foraging in fish, Marine Behavioural Ecology Group, University of Cambridge, UK
- 2020-21: Postdoctoral Forschungskredit Fellow in energetics and foraging in meerkats, Population Ecology Group, Universität Zürich, Switzerland
- 2015: Visiting Student Researcher in tissue analysis using MRI, Stanford BioMotion Lab, Stanford University, USA
- 2014: Summer Intern in tissue analysis using MRI, Swiss BioMotion Lab, Centre hospitalier universitaire vaudois, Switzerland
- 2012-13: Research Assistant in fluid flow in microchannels, Microfluidics Lab, Indian Institute of Bombay, India
Education
- 2015-20: Ph.D. in measurement and analysis of animal behavior using inertial sensors, Ecole Polytechnique Fédérale de Lausanne, Switzerland
- 2013-15: M.Sc. in Bioengineering (minor in Biomedical Technologies), Ecole Polytechnique Fédérale de Lausanne, Switzerland
- 2008-12: B.Tech. (Hons) in Chemical Engineering, Indian Institute of Technology Bombay, India
Blogposts
3. Biomechanically aware behavior recognition using accelerometers
2. The Sixth Bio-logging Symposium, Konstanz: Through the eyes of an engineer, part II