Phillip Lippe (Preferred)
Phillip Lippe
University of Amsterdam
Names
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Emails
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****@googlemail.com
, ****@uva.nl
, ****@google.com
Personal Links
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Education & Career History
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PhD student
University of Amsterdam (uva.nl)
2020 – Present
Intern
Microsoft (microsoft.com)
2023 – 2023
Intern
Google DeepMind (google.com)
2023 – 2023
MSc student
University of Amsterdam (uva.nl)
2018 – 2020
MSc student
Vrije Universiteit van Amsterdam (vu.nl)
2018 – 2019
Undergrad student
Duale Hochschule Baden Württemberg (DHBW) (dhbw-mannheim.de)
2015 – 2018
Advisors, Relations & Conflicts
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Coauthor
Sara Magliacane
****@uva.nl
2021 – Present
Coauthor
Sindy Löwe
****@uva.nl
2021 – Present
Coauthor
Yuki M Asano
****@uva.nl
2021 – Present
PhD Advisor
Taco Cohen
****@qti.qualcomm.com
2020 – Present
PhD Advisor
Efstratios Gavves
****@uva.nl
2020 – Present
Coauthor
Adeel Pervez
****@uva.nl
2022 – 2023
Coauthor
Johann Brehmer
****@qti.qualcomm.com
2022 – 2022
Coauthor
Max Welling
****@uva.nl
2022 – 2022
Coauthor
Pim de Haan
****@qti.qualcomm.com
2021 – 2022
Coauthor
Helen Yannakoudakis
****@kcl.ac.uk
2020 – 2021
Coauthor
Ekaterina Shutova
****@uva.nl
2020 – 2021
Coauthor
Shantanu Chandra
****@zs.com
2020 – 2021
Coauthor
Verna Dankers
****@gmail.com
2020 – 2021
Coauthor
Anna Langedijk
****@gmail.com
2020 – 2021
Coauthor
Nithin Holla
****@gmail.com
2020 – 2021
Coauthor
Pengjie Ren
****@uva.nl
2019 – 2020
Coauthor
Hinda Haned
****@uva.nl
2019 – 2020
Coauthor
Maarten de Rijke
****@uva.nl
2019 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Causal Representation Learning
2021 – Present
Causality
2020 – Present
Normalizing Flows
2018 – 2021
Generative Models
2018 – 2021