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| birth_date = {{birth year and age|1985}}
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| nationality = [[Switzerland|Swiss]]
| fields = Statistical mechanics, probability, quantum field theory, conformal field theory, machine learning, neural networks
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| workplaces = [[École Polytechnique Fédérale de Lausanne|EPFL]] (École Polytechnique Fédérale de Lausanne)
| workplaces = [[École Polytechnique Fédérale de Lausanne|EPFL]] (École Polytechnique Fédérale de Lausanne)
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| education = [[Mathematics]], [[physics]]
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| alma_mater = [[École Polytechnique Fédérale de Lausanne|EPFL]], [[University of Geneva]]
| thesis_title = <!--(or | thesis1_title = and | thesis2_title = )-->
| thesis_title = Conformal Invariance of Ising Model Correlations<!--(or | thesis1_title = and | thesis2_title = )-->
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| thesis_year = 2010<!--(or | thesis1_year = and | thesis2_year = )-->
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| website = {{URL|https://www.epfl.ch/labs/csft/}}
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'''Clément Hongler''' (born 19xx in ) is a Swiss XXX. He/She is a professor of XXX at [[École Polytechnique Fédérale de Lausanne|EPFL]] (École Polytechnique Fédérale de Lausanne) and the head of the Laboratory of .
'''Clément Hongler''' (born 19xx in ) is a Swiss XXX. He/She is a professor of XXX at [[École Polytechnique Fédérale de Lausanne|EPFL]] (École Polytechnique Fédérale de Lausanne) and the head of the Chair of Statistical Field Theory.<ref>{{Cite web |title=20 professors appointed at ETH Zurich and EPFL |url=https://www.seco.admin.ch/seco/en/home/seco/nsb-news.msg-id-73375.html |access-date=2022-07-16 |website=www.seco.admin.ch}}</ref>
== Career ==
== Career ==
Clément Hongler received his M.Sc. in mathematics from the EPFL in 2008.

Under the direction of [[Stanislav Smirnov]], he earned his Ph.D. in 2010 at the University of Geneva for his thesis on "Conformal Invariance of Ising Model Correlations."<ref>{{Cite book |url=https://infoscience.epfl.ch/record/200290?ln=en |title=Conformal Invariance of Ising Model Correlations |date=2010 |publisher=Université de Genève |editor-last=Hongler |editor-first=Clément}}</ref> From September 2010 to July 2014, he worked as a Ritt Assistant Professor at Columbia University.

He has served as the Chair of Statistical Field Theory (CSFT) at EPFL since July 2014.

His current work focuses on lattice models and their relationships to learning theory, decentralized systems, and quantum field theories.


== Research ==
== Research ==

Statistical mechanics, quantum field theory, learning theory, and decentralized systems make up the majority of our study.

Key projects include:

the examination of the relationship between conformal field theories and lattice models. More specifically, we are interested in exposing conformal field theory structures within lattice models, rigorously explaining phase transitions in lattice models in terms of conformal field theories, and connecting field theories with probabilistic objects like random curves and fields. Our goal is to properly combine discrete and continuous models, statistical and quantum theories, algebraic and probabilistic structures that appear in the study of phase transitions by building mathematically precise bridges between these items.
the dynamics of learning, especially during training of deep neural networks. More specifically, we use methods from probability, functional analysis, and algebra to study the dynamics of neural networks during supervised learning (such as regression or classification) or unsupervised learning (such as generative adversarial networks). We specifically look into how neural networks relate to other learning strategies (such kernel methods) and what makes them so effective for a variety of tasks.
Blockchain technology in particular, along with algorithmic game theory, are examples of decentralized systems.


== Distinctions ==
== Distinctions ==

Hongler received the 2014 Blavantik Awards for Young Scientists<ref>{{Cite web |title=Clément Hongler {{!}} Blavatnik Awards for Young Scientists |url=http://blavatnikawards.org/honorees/profile/clement-hongler/ |access-date=2022-07-16 |website=blavatnikawards.org |language=en}}</ref> and the 2017 Latsis University Prize.<ref>{{Cite journal |last=Marti-Rochat |first=Patricia |date=2017-08-10 |title=University Latsis Award EPFL 2017 – Clément Hongler |url=https://actu.epfl.ch/news/university-latsis-award-epfl-2017-clement-hongler/ |language=en}}</ref>


== Selected works ==
== Selected works ==
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== External links ==
== External links ==
* {{Google Scholar id|id=XXXX}}
* {{Google Scholar id|id=p9B6eWEAAAAJ}}
* Website of the [https://www.epfl.ch/XXXX Laboratory of XXXX]
* Website of the [https://www.epfl.ch/labs/csft/ Chair of Statistical Field Theory]


{{Authority control|ORCID=XXXX}}
{{Authority control|ORCID=XXXX}}
{{DEFAULTSORT:XXXX, XXXX}}
{{DEFAULTSORT:Hongler, Clément}}
[[:Category:XXXX births]]
[[:Category:1985 births]]
[[:Category:Living people]]
[[:Category:Living people]]
[[:Category:UXXXX alumni]]
[[:Category:EPFL alumni]]
[[:Category:XXXX alumni]]
[[:Category:University of Geneva alumni]]
[[:Category:École Polytechnique Fédérale de Lausanne faculty]]
[[:Category:École Polytechnique Fédérale de Lausanne faculty]]
[[:Category:XXXX women scientists]]
[[:Category: XXXX]]
[[:Category: XXXX]]

Revision as of 09:20, 20 July 2022

Professor
Clément Hongler
Born1985 (age 39–40)
NationalitySwiss
EducationMathematics, physics
Alma materEPFL, University of Geneva
Scientific career
FieldsStatistical mechanics, probability, quantum field theory, conformal field theory, machine learning, neural networks
InstitutionsEPFL (École Polytechnique Fédérale de Lausanne)
ThesisConformal Invariance of Ising Model Correlations (2010)
Doctoral advisorStanislav Smirnov
Websitewww.epfl.ch/labs/csft/


Clément Hongler (born 19xx in ) is a Swiss XXX. He/She is a professor of XXX at EPFL (École Polytechnique Fédérale de Lausanne) and the head of the Chair of Statistical Field Theory.[1]

Career

Clément Hongler received his M.Sc. in mathematics from the EPFL in 2008.

Under the direction of Stanislav Smirnov, he earned his Ph.D. in 2010 at the University of Geneva for his thesis on "Conformal Invariance of Ising Model Correlations."[2] From September 2010 to July 2014, he worked as a Ritt Assistant Professor at Columbia University.

He has served as the Chair of Statistical Field Theory (CSFT) at EPFL since July 2014.

His current work focuses on lattice models and their relationships to learning theory, decentralized systems, and quantum field theories.

Research

Statistical mechanics, quantum field theory, learning theory, and decentralized systems make up the majority of our study.

Key projects include:

the examination of the relationship between conformal field theories and lattice models. More specifically, we are interested in exposing conformal field theory structures within lattice models, rigorously explaining phase transitions in lattice models in terms of conformal field theories, and connecting field theories with probabilistic objects like random curves and fields. Our goal is to properly combine discrete and continuous models, statistical and quantum theories, algebraic and probabilistic structures that appear in the study of phase transitions by building mathematically precise bridges between these items. the dynamics of learning, especially during training of deep neural networks. More specifically, we use methods from probability, functional analysis, and algebra to study the dynamics of neural networks during supervised learning (such as regression or classification) or unsupervised learning (such as generative adversarial networks). We specifically look into how neural networks relate to other learning strategies (such kernel methods) and what makes them so effective for a variety of tasks. Blockchain technology in particular, along with algorithmic game theory, are examples of decentralized systems.

Distinctions

Hongler received the 2014 Blavantik Awards for Young Scientists[3] and the 2017 Latsis University Prize.[4]

Selected works

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References

  1. ^ "20 professors appointed at ETH Zurich and EPFL". www.seco.admin.ch. Retrieved 2022-07-16.
  2. ^ Hongler, Clément, ed. (2010). Conformal Invariance of Ising Model Correlations. Université de Genève.
  3. ^ "Clément Hongler | Blavatnik Awards for Young Scientists". blavatnikawards.org. Retrieved 2022-07-16.
  4. ^ Marti-Rochat, Patricia (2017-08-10). "University Latsis Award EPFL 2017 – Clément Hongler". {{cite journal}}: Cite journal requires |journal= (help)

Category:1985 births Category:Living people Category:EPFL alumni Category:University of Geneva alumni Category:École Polytechnique Fédérale de Lausanne faculty

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