Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park

Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park.

This conference will bring together experts from around the world in the combination of geometrical or topological methods with probabilistic and statistical ones for the study of data.  Different ideas have been found valuable in the handling of different kinds of data, and we hope to promote discussions of what works and what fails, and when and why.

Invited Speakers

Yuliy Baryshnikov, Electrical and Computer Engineering, University of Illinois

Mikhail Belkin, Computer Science, Engineering and Statistics, Ohio State University

Paul L. Bendich, Mathematics, Duke University

Omer Bobrowski, Electrical Engineering, Technion, Institute of Technology, Israel

Jeff Brock, Yale University

Gunnar Carlsson, Mathematics, Stanford University

Daniela Egas Santander, Topology and Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland

Tamal Krishna DeyComputer Science and Engineering, Ohio State University

Tingran Gao, Statistics, University of Chicago

Herbert Edelsbrunner, Computer Science and Mathematics, Institute of Science and Technology, Austria

Clément Levrard, Probabilités, Statistique et Modélisation, Université Paris Diderot, France

Mauro Maggioni, Mathematics, John Hopkins University

Facundo Mémoli, Mathematics, Computer Science and Engineering, Ohio State University

Bertrand Michel, Informatique et Mathématiques, Ecole Centrale de Nantes, France

Ezra Miller, Mathematics, Duke University

Sayan Mukherjee, Statistical Science, Duke University

Takashi Owada, Statistiques, Purdue University

Gennady Samorodnitsky, Operations Research and Information Engineering, Cornell University

Benjamin Schweinhart, Mathematics, Ohio State University

Amit Singer, Applied and Computational Mathematics, Statistics and Machine Learning, Princeton University

Jonathan Taylor, Statistics, Stanford University

Katharine Turner, Mathematical Sciences, National University, Australia

Details about the conference are available on our website:

Please note: 

  • Travel funds are available to PhD Students, Postdoctoral Students and Early CareerAcademics.  Please submit your application by January 9, 2019.

You will be asked to submit your CV, a brief research statement (up to 250 words), and a brief statement explaining why and how attending this conference will contribute to your research (up to 250 words). In addition, please ask someone who is familiar with your work (your academic advisor or your mentor) to send a brief letter supporting your application to sbendier@uchicago.edu, by January 9, 2019. The letter should be addressed to the GDA 2019 Selection Committee.

  • Poster sessions will be organized. If you'd like your poster to be considered, please submit your application by January 9, 2019.

If you have any questions, please email Sylvie at sbendier@uchicago.edu

We hope to see you in May!

Scientific Committee: Robert Adler (Technion), Frederic Chazal (INRIA), Shmuel Weinberger (Chicago)

Postdoc in TDA at EPFL

The Laboratory for Topology and Neuroscience (EPFL) and L2F—Learn to Forecast (EPFL Innovation Park) invite applications for two postdoctoral positions in topological data analysis and machine learning, funded by the project “Topological Warning Signals for Critical System Transitions” supported by Innosuisse (Swiss Innovation Agency).

The aim of this project is to develop original predictive methods, combining advances in topological data analysis with machine learning research. The first goal of the project, inspired by critical phase transitions, is to define a new type of early warning signal using applied topology, in order to better anticipate sudden changes of regime such as financial crashes, earthquakes, or epileptic attacks. The second goal concerns the creation of new local features by analyzing the topology of datasets, in order to generalize current topological data analysis techniques to enhance the performance of machine learning models. 

L2F is a research-driven company that offers mathematically sophisticated machine learning solutions to corporate and institutional clients. L2F’s researchers, who won the 2017 NYC Taxi Challenge on Kaggle, are motivated by the desire to understand the fundamental laws of machine learning, in terms of its underlying mathematical theory. L2F is one of the fastest growing Swiss companies, with already 30 employees after one year of existence, and provides an exciting environment for multi-disciplinary researchers.

The appointed candidates will be based at L2F on the EPFL Innovation Park and engage in state-of-the-art research, in collaboration with the Laboratory for Topology and Neuroscience.

Candidates should hold a PhD in one of the following areas: algebraic topology, theoretical physics, or machine learning. Please send your cover letter, CV, and publication list to Kathryn Hess at kathryn.hess@epfl.ch  and Maxime Gabella at m.gabella@l2f.ch, to whom you should arrange for three letters of reference to be sent as well.

Starting date: March 1, 2019, or as soon as possible thereafter.

Duration: 18 months.

Application deadline: January 1, 2019.

Young Topologists Meeting (YTM) 2019: Registration open

Dear all,

Registration for the Young Topologists Meeting (YTM) 2019 is now open. It will take place between July 22 and July 26 at EPFL in Lausanne, Switzerland. The meeting will be an opportunity for graduate students, recent PhDs and other junior researchers to meet and present their work to each other. In addition to the talks given by the participants, there will be two lecture series, one in pure and one in applied topology, given by Julie Bergner (University of Virginia) and Vidit Nanda (University of Oxford).

We will be able to provide accommodation for some participants. We have also applied for NSF funding to cover the expenses of some participants from US institutions. Participants can indicate their interest for these funding possibilities in the registration form. The registration deadline is February 28, 2019 for applications for accommodation and March 31, 2019 for the rest of the form.

We strongly encourage participants to give a talk or present a poster. It does not have to contain original research results; expository presentations are also welcome.

Further information, including abstracts for the lecture series and a link to the registration form, can be found at https://ytm2019.epfl.ch/

We hope to see you in Lausanne!

Best regards,

The organizers

  • Stefania Ebli
  • Aras Ergus
  • Adélie Garin
  • Celia Hacker
  • Lyne Moser
  • Haoqing Wu

Geometric Data Analysis, U Chicago, May 20-23 2019

Conference on Geometric Data Analysis, May 20-23, 2019, on the University of Chicago main campus in Hyde Park.

This conference will bring together experts from around the world in the combination of geometrical or topological methods with probabilistic and statistical ones for the study of data.  Different ideas have been found valuable in the handling of different kinds of data, and we hope to promote discussions of what works and what fails, and when and why.

Invited Speakers

Yuliy Baryshnikov, Electrical and Computer Engineering, University of Illinois
Mikhail Belkin, Computer Science, Engineering and Statistics, Ohio State University
Paul L. Bendich, Mathematics, Duke University
Omer Bobrowski, Electrical Engineering, Technion, Institute of Technology, Israel
Jeff Brock?, Yale University
Gunnar Carlsson, Mathematics, Stanford University
Daniela Egas Santander, Topology and Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Tamal Krishna Dey, Computer Science and Engineering, Ohio State University
Tingra Gao, Statistics, University of Chicago
Herbert Edelsbrunner, Computer Science and Mathematics, Institute of Science and Technology, Austria
Clément Levrard, Probabilités, Statistique et Modélisation, Université Paris Diderot, France
Mauro Maggioni, Mathematics, John Hopkins University
Facundo Mémoli, Mathematics, Computer Science and Engineering, Ohio State University
Bertrand Michel, Informatique et Mathématiques, Ecole Centrale de Nantes, France
Ezra Miller, Mathematics, Duke University
Sayan Mukherjee, Statistical Science, Duke University
Takashi Owada, Statistiques, Purdue University
Gennady Samorodnitsky, Operations Research and Information Engineering, Cornell University
Benjamin Schweinhart, Mathematics, Ohio State University
Amit Singer, Applied and Computational Mathematics, Statistics and Machine Learning, Princeton University
Jonathan Taylor, Statistics, Stanford University
Katharine Turner, Mathematical Sciences, National University, Australia

? to be confirmed

Details about the conference are available on our website:

• Logistical details re.this 4-day conference (May 20-23, 2019) on the University of Chicago main campus in Hyde Park.

Geometric Data Analysis, 2019: Logistics


• Registration is free and open until May 13, 2019.
https://www.eventbrite.com/e/geometric-data-analysis-2019-tickets-52263737245
• Join our mailing list to receive reminders and updates.

Sign Up Form

Please note:

• Travel funds are available to PhD Students, Postdoctoral Students and Early Career Academics.  Please submit your application ( https://form.jotform.com/82675929584173 ) by January 9, 2019.
You will be asked to submit your CV, a brief research statement (up to 250 words), and a brief statement explaining why and how attending this conference will contribute to your research (up to 250 words). In addition, please ask someone who is familiar with your work (your academic advisor or your mentor) to send a brief letter supporting your application to sbendier@uchicago.edu, by January 9, 2019. The letter should be addressed to the GDA 2019 Selection Committee.

• Poster sessions will be organized. If you'd like your poster to be considered, please submit your application ( https://form.jotform.com/82675929584173 ) by January 9, 2019.

If you have any questions, please email Sylvie at sbendier@uchicago.edu

We hope to see you in May!

Scientific Committee: Robert Adler (Technion), Frederic Chazal (INRIA), Shmuel Weinberger (Chicago)