"Piotr is my biggest success story at Google. He is by far one of the smartest people I have EVER spoken with, even in normal conversation he stimulated my brain. Working for Google DeepMind is probably one of the hardest things to do - I am happy that Piotr is a part of that group. Along with being smart, he is also very caring, and has a cool accent! I know that you will be successful in your new role. Congrats!"
Über uns
I am a Staff Research Scientist working at DeepMind. As a member Dr. Raia Hadsell‘s and…
Activity
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Tola Capital is thrilled to lead Reliant AI’s $11.3M Seed round, a trailblazer set to revolutionize the life sciences industry with cutting-edge…
Tola Capital is thrilled to lead Reliant AI’s $11.3M Seed round, a trailblazer set to revolutionize the life sciences industry with cutting-edge…
Liked by Piotr Mirowski
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I'm very happy to be coming out of stealth with Reliant AI. We're building the next gen of data analytics software for the life sciences and beyond.…
I'm very happy to be coming out of stealth with Reliant AI. We're building the next gen of data analytics software for the life sciences and beyond.…
Liked by Piotr Mirowski
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Our AI science comedy shows by Improbotics and ImproboticsKids will be covered by BBC Scotland! Log in tonight on BBC iPlayer to watch an episode of…
Our AI science comedy shows by Improbotics and ImproboticsKids will be covered by BBC Scotland! Log in tonight on BBC iPlayer to watch an episode of…
Shared by Piotr Mirowski
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Bildung
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New York University
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Activities and Societies: PhD student representative. Co-organized the first interdisciplinary Math/CS Courant Student Conference, May 2009.
Thesis: “Time Series Modeling with Hidden Variables and Gradient-Based Algorithms”, with applications to human motion capture, gene regulation networks, dynamic text topic models and statistical language modeling/speech recognition. PhD advisor: Prof. Yann LeCun.
Studied Computational Biology, Neuroscience and Financial Mathematics in addition to core curriculum. -
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Qualifier thesis: "Machine Learning for Time-Series Prediction"
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Volunteer Experience
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Co-Founder, Director, AI Developer
Improbotics
- Present 8 years 5 months
Arts and Culture
Created, along with fellow researcher and improviser Kory Mathewson, an artistic company dedicated to improvisational theatre relying on artificial intelligence and communications technology (initially called HumanMachine). Performed internationally at the Edinburgh, Edmonton, Brighton, Camden Fringe festivals, as well as Art-AI, NRW Forum, Zürich Kunsthalle, Devoxx France and Devoxx Belgium. Set-up 4 troupes in London, Edmonton, Stockholm and Antwerp. Published articles on the use of AI for…
Created, along with fellow researcher and improviser Kory Mathewson, an artistic company dedicated to improvisational theatre relying on artificial intelligence and communications technology (initially called HumanMachine). Performed internationally at the Edinburgh, Edmonton, Brighton, Camden Fringe festivals, as well as Art-AI, NRW Forum, Zürich Kunsthalle, Devoxx France and Devoxx Belgium. Set-up 4 troupes in London, Edmonton, Stockholm and Antwerp. Published articles on the use of AI for enhancing human creativity at AAIDE 2017-2019, NeurIPS Creative AI 2017, ICCC 2020-2022, SIG CHI 2021. Featured on the BBC, New York Times, New Scientist, Wall Street Journal, Bloomberg TV, RTE One. https://improbotics.org and https://humanmachine.live
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Improviser in Recreational Therapy Charity
Cherub Improv
- 6 years 4 months
Social Services
Volunteer improv comedy. Performing and organizing workshops in hospitals, senior homes, veterans centers, hospices, homeless outreach and cancer support organizations.
http://www.cherubimprov.org -
Associate Editor
Elsevier
- 3 years 10 months
Science and Technology
Member of the Editorial Board for the journal "Pattern Recognition".
Publications
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Co-writing screenplays and theatre scripts with language models: An evaluation by industry professionals
Computer-Human Interaction (SIG CHI)
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Collaborative Storytelling with Human Actors and AI Narrators
Computational Creativity (ICCC)
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One-shot reinforcement learning for robot navigation with interactive replay
Robot Learning (CoRL)
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Learning deployable navigation policies at kilometer scale from a single traversal
NeurIPS Workshop on Deep Reinforcement Learning
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A sparse coding approach to household electricity demand forecasting in smart grids
IEEE Transactions on Smart Grid
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Dependency recurrent neural language models for sentence completion
ACL Association for Computing Linguistics
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Building Optimal Radio-Frequency Signal Maps
International Conference on Pattern Recognition
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Pose Invariant Activity Classification for Multi-Floor Indoor Localization
International Conference on Pattern Recognition
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Probabilistic Radio‐Frequency Fingerprinting and Localization on the Run
Bell Labs Technical Journal
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SignalSLAM: Simultaneous Localization and Mapping with Mixed WiFi, Bluetooth, LTE and Magnetic Signals
IEEE International Conference on Indoor Positioning and Indoor Navigation
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Probability kernel regression for WiFi localisation
Journal of Location Based Services
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Depth camera SLAM on a low-cost WiFi mapping robot
IEEE International Conference on Technologies for Practical Robot Applications
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Autonomous RF Surveying Robot for Indoor Localization and Tracking
IEEE International Conference on Indoor Positioning and Indoor Navigation
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KL-Divergence Kernel Regression for Non-Gaussian Fingerprint Based Localization
IEEE International Conference on Indoor Positioning and Indoor Navigation
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Dynamic auto-encoders for semantic indexing
NIPS Deep Learning and Unsupervised Learning Workshop
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Feature-rich continuous language models for speech recognition
IEEE Workshop on Spoken Language Technologies
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Classification of patterns of EEG synchronization for seizure prediction
Clinical Neurophysiology
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Dynamic factor graphs for time series modeling
European Conference on Machine Learning
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Stationarity scores on training images for multipoint geostatistics
Mathematical Geology
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Comparing SVM and convolutional networks for epileptic seizure prediction from intracranial EEG
IEEE Workshop on Machine Learning for Signal Processing
Patents
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Computer-based generation and validation of training images for multipoint geostatistical analysis
Issued US 7,630,517
A computer-implemented method is provided that automatically characterizes and verifies stationarity of a training image for use in multipoint geostatistical analysis. The stationarity is preferably characterized by statistical measures of orientation stationarity, scale stationarity, and category distribution stationarity.
Other inventorsSee patent -
LOCALIZATION SYSTEMS AND METHODS
Filed US 13/867420
A system and method for providing localization of a mobile electronic device within an environment includes at least one server in communication with the mobile electronic device. The at least one server is adapted to receive at least one picture and at least one accelerometer measurement from the mobile electronic device. The at least one server includes a localization module that provides localization to the mobile electronic device based on the at least one picture, the at least one…
A system and method for providing localization of a mobile electronic device within an environment includes at least one server in communication with the mobile electronic device. The at least one server is adapted to receive at least one picture and at least one accelerometer measurement from the mobile electronic device. The at least one server includes a localization module that provides localization to the mobile electronic device based on the at least one picture, the at least one accelerometer measurement and on at least one 3-dimensional map of the environment.
Other inventors
Languages
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French
Native or bilingual proficiency
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Polish
Native or bilingual proficiency
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Englisch
Full professional proficiency
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Italian
Limited working proficiency
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German
Elementary proficiency
Recommendations received
3 people have recommended Piotr
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Our paper, Genie, won the best paper award at ICML 2024. Congratulations to the team, in particular Ashley Edwards and Jack Parker-Holder for leading…
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Dear colleagues, friends, I am pleased to announce that I have received the EAGE Honorary Membership Award at the Oslo Annual conference today…
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Thank you Rhiannon Williams (and Melissa Heikkilä) for covering our Google DeepMind study with 20 professional comedians evaluating LLMs and their...…
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