Pavan P Ramdya
Associate Professor
pavan.ramdya@epfl.ch +41 21 693 69 60 https://ramdya-lab.epfl.ch/
Citizenship: USA
+41 21 693 69 60
EPFL
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SV
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SV-SSV
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SSV-ENS
Web site: Web site: https://sv.epfl.ch/education
EPFL SV BMI UPRAMDYA
AAB 1 05 (Bâtiment AAB)
Station 19
1015 Lausanne
+41 21 693 69 60
+41 21 693 40 74
Office:
AAB 1 05
EPFL
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SV
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BMI
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UPRAMDYA
Web site: Web site: https://ramdya-lab.epfl.ch
EPFL SV IBI-GE
AAB 1 05 (Bâtiment AAB)
Station 19
1015 Lausanne
Web site: Web site: https://bioengineering.epfl.ch/
Web site: Web site: https://go.epfl.ch/phd-edne
Web site: Web site: https://go.epfl.ch/edne
+41 21 693 69 60
EPFL
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VPA
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VPA-FAC
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CPR
Fields of expertise
Mission
We use genetics, microscopy, modeling, and quantitative behavioral analysis to understand how the brain works.Biography
https://ramdya-lab.epfl.ch/Education
PhD
Neurobiology
Harvard University
2009
Awards
2019 : Eccellenza Grant Awardee : Swiss National Science Foundation (SNSF)
2018 : FENS : Kavli Network of Excellence Scholar
2016 : HFSP : Career Development Award
2016 : Wellcome Trust : Sir Henry Dale Fellowship
2015 : UNIL Biology and Medicine : Young Investigator Award in Basic Science
2015 : Life Sciences Switzerland : PI of Tomorrow Award
2007 : Harvard University : Derek Bok Award for Teaching
2005 : Doctoral Fellowship : National Science Foundation USA
2005 : National Defense Science and Engineering : Doctoral Fellowship
Publications
Infoscience publications
Infoscience
Modeling conditional distributions of neural and behavioral data with masked variational autoencoders
Cell Reports. 2025. DOI : 10.1016/j.celrep.2025.115338.An integrative computational modeling approach for Drosophila motor control
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10986.NeuroMechFly v2: simulating embodied sensorimotor control in adult <i>Drosophila</i>
NATURE METHODS. 2024. DOI : 10.1038/s41592-024-02497-y.Descending networks transform command signals into population motor control
Nature. 2024. DOI : 10.1038/s41586-024-07523-9.Uncovering interactions between Descending Neurons as a functional principle of behavioural control
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10712.Neural mechanisms of learned sociability in Drosophila
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10042.The neuromechanics of animal locomotion: From biology to robotics and back
Science Robotics. 2023. DOI : 10.1126/scirobotics.adg0279.Ascending neurons convey behavioral state to integrative sensory and action selection brain regions
Nature Neuroscience. 2023. DOI : 10.1038/s41593-023-01281-z.Overcoming the Domain Gap in Neural Action Representations
International Journal Of Computer Vision. 2022. DOI : 10.1007/s11263-022-01713-6.Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
Elife. 2022. DOI : 10.7554/eLife.81527.Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila
Nature Communications. 2022. DOI : 10.1038/s41467-022-32571-y.NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster
Nature Methods. 2022. DOI : 10.1038/s41592-022-01466-7.NeuroMechFly: an integrative simulation testbed for studying Drosophila behavioral control
Nature Methods. 2022. DOI : 10.1038/s41592-022-01411-8.Connecting the dots in ethology: applying network theory to understand neural and animal collectives
Current Opinion In Neurobiology. 2022. DOI : 10.1016/j.conb.2022.102532.Uncovering the neural substrates of communication between the brain and ventral nerve cord in Drosophila melanogaster (italic)
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9476.Uncovering the neural encoding of behavior in the adult Drosophila motor system
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8966.Methods for acute and long-term imaging of the ventral nerve cord in behaving adult Drosophila
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9466.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021. DOI : 10.1038/s41592-021-01226-z.Extensive and diverse patterns of cell death sculpt neural networks in insects
Elife. 2020. DOI : 10.7554/eLife.59566.Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155 - 13165. DOI : 10.1109/CVPR42600.2020.01317.Serotonergic Modulation of Walking in Drosophila
Current Biology. 2019. DOI : 10.1016/j.cub.2019.10.042.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019. DOI : 10.7554/eLife.48571.Imaging neural activity in the ventral nerve cord of behaving adult Drosophila
Nature Communications. 2018. DOI : 10.1038/s41467-018-06857-z.Climbing favours the tripod gait over alternative faster insect gaits
Nature Communications. 2017. DOI : 10.1038/ncomms14494.Fluctuation-driven neural dynamics reproduce Drosophila locomotor patterns
Plos Computational Biology. 2015. DOI : 10.1371/journal.pcbi.1004577.Mechanosensory interactions drive collective behaviour in Drosophila
Nature. 2015. DOI : 10.1038/nature14024.Fluorescence Behavioral Imaging (FBI) tracks identity in heterogeneous groups of Drosophila
PLOS One. 2012. DOI : 10.1371/journal.pone.0048381.Complementary Function and Integrated Wiring of the Evolutionarily Distinct Drosophila Olfactory Subsystems
The Journal of neuroscience. 2011. DOI : 10.1523/JNEUROSCI.2360-11.2011.Evolving olfactory systems on the fly
Trends In Genetics. 2010. DOI : 10.1016/j.tig.2010.04.004.Modeling conditional distributions of neural and behavioral data with masked variational autoencoders
Cell Reports. 2025. DOI : 10.1016/j.celrep.2025.115338.An integrative computational modeling approach for Drosophila motor control
Lausanne, EPFL, 2025. DOI : 10.5075/epfl-thesis-10986.NeuroMechFly v2: simulating embodied sensorimotor control in adult <i>Drosophila</i>
NATURE METHODS. 2024. DOI : 10.1038/s41592-024-02497-y.Descending networks transform command signals into population motor control
Nature. 2024. DOI : 10.1038/s41586-024-07523-9.Uncovering interactions between Descending Neurons as a functional principle of behavioural control
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10712.Neural mechanisms of learned sociability in Drosophila
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10042.The neuromechanics of animal locomotion: From biology to robotics and back
Science Robotics. 2023. DOI : 10.1126/scirobotics.adg0279.Ascending neurons convey behavioral state to integrative sensory and action selection brain regions
Nature Neuroscience. 2023. DOI : 10.1038/s41593-023-01281-z.Overcoming the Domain Gap in Neural Action Representations
International Journal Of Computer Vision. 2022. DOI : 10.1007/s11263-022-01713-6.Descending neuron population dynamics during odor-evoked and spontaneous limb-dependent behaviors
Elife. 2022. DOI : 10.7554/eLife.81527.Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila
Nature Communications. 2022. DOI : 10.1038/s41467-022-32571-y.NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster
Nature Methods. 2022. DOI : 10.1038/s41592-022-01466-7.NeuroMechFly: an integrative simulation testbed for studying Drosophila behavioral control
Nature Methods. 2022. DOI : 10.1038/s41592-022-01411-8.Connecting the dots in ethology: applying network theory to understand neural and animal collectives
Current Opinion In Neurobiology. 2022. DOI : 10.1016/j.conb.2022.102532.Uncovering the neural substrates of communication between the brain and ventral nerve cord in Drosophila melanogaster (italic)
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9476.Uncovering the neural encoding of behavior in the adult Drosophila motor system
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8966.Methods for acute and long-term imaging of the ventral nerve cord in behaving adult Drosophila
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9466.Using Animal Motion Capture to Learn Neural Representations
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9124.LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals
Nature Methods. 2021. DOI : 10.1038/s41592-021-01226-z.Extensive and diverse patterns of cell death sculpt neural networks in insects
Elife. 2020. DOI : 10.7554/eLife.59566.Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
2020. Conference on Computer Vision and Pattern Recognition (CVPR). p. 13155 - 13165. DOI : 10.1109/CVPR42600.2020.01317.Serotonergic Modulation of Walking in Drosophila
Current Biology. 2019. DOI : 10.1016/j.cub.2019.10.042.DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
eLife. 2019. DOI : 10.7554/eLife.48571.Imaging neural activity in the ventral nerve cord of behaving adult Drosophila
Nature Communications. 2018. DOI : 10.1038/s41467-018-06857-z.Climbing favours the tripod gait over alternative faster insect gaits
Nature Communications. 2017. DOI : 10.1038/ncomms14494.Fluctuation-driven neural dynamics reproduce Drosophila locomotor patterns
Plos Computational Biology. 2015. DOI : 10.1371/journal.pcbi.1004577.Mechanosensory interactions drive collective behaviour in Drosophila
Nature. 2015. DOI : 10.1038/nature14024.Fluorescence Behavioral Imaging (FBI) tracks identity in heterogeneous groups of Drosophila
PLOS One. 2012. DOI : 10.1371/journal.pone.0048381.Complementary Function and Integrated Wiring of the Evolutionarily Distinct Drosophila Olfactory Subsystems
The Journal of neuroscience. 2011. DOI : 10.1523/JNEUROSCI.2360-11.2011.Evolving olfactory systems on the fly
Trends In Genetics. 2010. DOI : 10.1016/j.tig.2010.04.004.Selected publications
| Chen C-L*, Hermans L*, Viswanathan MC, Aymanns F, Unser M, Cammarato A, Dickinson MH, Ramdya P Nature Communications. 2018 Oct 22; 9(1):4390. |
Imaging neural activity in the ventral nerve cord of behaving adult Drosophila. |
| Ramdya P, Thandiackal R, Cherney R, Asselborn T, Benton R, Ijspeert AJ, Floreano D. Nature Communications. 2017 Feb 17;8:14494. |
Climbing favours the tripod gait over alternative faster insect gaits. |
| Ramdya P, Lichocki P, Cruchet S, Frisch L, Tse W, Floreano D, Benton R. Nature. 2015 Mar 12;519(7542):233-6. |
Mechanosensory interactions drive collective behaviour in Drosophila. |
| Pavan Ramdya & Florian Engert Nature Neuroscience, 2008 Sep;11(9):1083-90. |
Emergence of binocular functional properties in a monocular neural circuit. |
Teaching & PhD
Teaching
Life Sciences Engineering