Applied Machine Learning Days 2020

“AI & Topology” at the Applied Machine Learning Days 2020, EPFL

This year’s Applied Machine Learning Days will take place on January 27-29, 2020 at EPF Lausanne (Switzerland).  The goal of this conference is to bring together the best people in the field to talk about a variety of topics in the practice of machine learning — from technical developments to applications in social, scientific or other domains.  Previous editions featured keynote speakers such as Jeff Dean and Christopher Bishop, researchers from academic institutions and industry (Google AI and DeepMind, Facebook AI, IBM Research, Microsoft Research, and others), as well as public figures such as Zeynep Tufekci and Garry Kasparov.

This is the fourth iteration of the event, with more than 1500 people expected to attend each day this time.  The event will feature more than 20 domain-specific tracks and, over the weekend preceding the main event, a set of workshops, challenges, and other “hands-on” events.

L2F and the Laboratory for Topology and Neuroscience have the pleasure to announce this year’s AI & Topology track which will take place on Tuesday 28 January.  The purpose of the track is to showcase a variety of successful ideas and concrete applications of topology, geometry or other abstract mathematics to machine learning and data analysis.  It will feature the following speakers:

  • Kathryn Hess Bellwald (EPFL)
  • Frédéric Chazal (Inria)
  • Vitaliy Kurlin (University of Liverpool)
  • Bastian Rieck (ETH)
  • Leland McInnes (Tutte Institute)
  • Nicole Sanderson (LBNL)

Additionally, there will be a panel discussion with a Q&A session. The talks will be uploaded to YouTube soon after the event.

A range of tickets for the AMLD event (including discounts for students, academics, non-profits and startups) are still available here.

TDA at the Joint Mathematics Meetings 2020

Here are some of the talks that I (Mikael Vejdemo-Johansson) discovered when looking through the programme.




Mikael Vejdemo-Johansson and Henry Adams are organizing a full-day special session on applied topology.

Room 113.

Also this day are


Hope to see you at the #JMM2020

Block Course: Stochastic Topology – Berlin March 16-20 2020


We wish to announce the upcoming block course

  Stochastic Topology

  TU Berlin (Germany), March 16-20, 2020

Block Course Lecturers:

  Omer Bobrowski (Technion)
  Matthew Kahle (Ohio State, TU Berlin)
  J. Andrew Newman (TU Berlin)
  Yuval Peled (NYU Courant Institute)


Stochastic topology began in the mid-twentieth century with the study
of random graphs, that is, random 1-dimensional spaces. More recently,
several models of random high-dimensional simplicial complexes have been
introduced. Some of the most important questions in stochastic topology
have to do with establishing thresholds for various topological properties
within these models. This course will begin with an overview of the
standard combinatorial and geometric models, and then we will explore
some of the techniques that have been used to study them.

The block course is organized within the third Berlin Thematic Einstein
Semester on the “Geometric and Topological Structure of Materials”,
devoted to recent developments in the field of computational materials science.




  please register via

Financial Support:

There is limited financial support for attendance.

The deadline for support applications (via the registration form)

  ***  January 23, 2020  ***

  (Notification is by January 30, 2020.)

We are hopeful of encouraging people from a wide variety of scientific
and mathematical backgrounds to attend. Any queries can be addressed
to the organizing committee at

Spring School on Data Science and Quantum Computing – London 29 March – 2 April 2020

The Spring School on Data Science and Quantum Computing is being organised by the Institute of Applied Data Science at Queen Mary University of London. It takes place from Sunday 29th March to Thursday 2nd April 2020. The event includes:   

    Spring School on Data Science: 29-31 March 2020,

     Workshop on Quantum Computing: 1 – 2 April,  2020. 

The Spring School and Workshop welcomes applications from PhD students and early career researchers with interests  in data science. The School will cover a broad range of topics such as democracy and data, mathematical mechanisms of social choice, natural language processing, topological data analysis, health AI, mathematics of cancer amongst others. There will be special emphasise on quantum computing and quantum information which shall be covered by several introductory mini-courses preparing the participants for the Workshop on Quantum Computing.

The event will take place at Cumberland Lodge, Windsor.

For more information and registration please visit

Conference: Structure of Materials, TU Berlin, March 2020


Dear Scientists and Mathematicians,

We wish to announce the upcoming conference


  Structure of Materials

  TU Berlin (Germany), March 23-27, 2020



The conference is organized within the third Berlin Thematic Einstein
Semester on the “Geometric and Topological Structure of Materials”,
devoted to recent developments in the field of computational materials

The semester aims at bringing together experts from the sciences
with experts from computational topology, computational algebraic,
discrete differential and stochastic geometry working on the structure
and function of materials.

Invited Speakers:

  Paweł Dłotko (Swansea U)
  Francisco Garcia-Moreno (Helmholtz-Zentrum Berlin)
  Miranda Holmes-Cerfon (New York U)
  Stephen Hyde (ANU)
  Matthew Kahle (Ohio State U, TU Berlin)
  Michael Klatt (U Princeton)
  Daphne Klotsa (U North Carolina)
  Emanuel (Menachem) Lazar (Bar-Ilan U)
  Xiaoming Mao (U Michigan)
  Claudia Redenbach (TU Kaiserslautern)
  Benjamin Schweinhart (Ohio State U)
  James A. Sethian (UC Berkeley, LBNL)
  Berend Smit (EPFL)
  Ileana Streinu (Smith College)
  Bernd Sturmfels (UC Berkeley, MPI Leipzig)
  Barbara Zwicknagl (TU Berlin)

Contributed Talks and Posters:

We are inviting abstracts for contributed oral presentations
and for posters. The deadline for abstract submission is

  ***  January 15, 2020  ***

Please submit title and abstract via

(Notification is by January 22, 2020.)


  free (except conference dinner).


  please register via

We are hopeful of encouraging people from a wide variety of scientific
and mathematical backgrounds to attend. Any queries can be addressed
to the organizing committee at

Best regards, and we hope to see you in Berlin,


  Myfanwy Evans (TU Berlin)
  Kathryn Hess Bellwald (EPFL)
  Frank Lutz (TU Berlin)
  Dmitriy Morozov (LBNL)
  Ileana Streinu (Smith College)

Young Topologists’ Meeting, Stockholm July 2020

We are pleased to announce that next year’s Young Topologists Meeting will take place between 6-10 July 2020 in Stockholm, jointly organized by the KTH Royal Institute of Technology and Stockholm University.

The intention of the conference is to create a setting in which young researchers in topology can meet each other and share their work. The program will consist of short talks given by the participants and three lecture series by invited speakers. This year’s invited speakers are Kathryn Hess (EPFL), Thomas Nikolaus (WWU Münster) and Karen Vogtmann (Cornell University and University of Warwick).

More information will be available soon on the conference website The registration is now open. 

If you have any questions, please do not hesitate to contact the organizers at​

Postdoc at Southampton on TDA for genetic oscillators

Ruben Sanchez-Garcia is looking to recruit a Research Fellow on an Alan Turing Institute funded pilot project ‘Automatic detection of genetic oscillators’. The aim is to combine new high-throughout single-cell profiling with advances in topological data analysis and network modelling to identify combinations of genes that oscillate in a coordinated way. He is looking for candidates with a PhD in Mathematics, Bioinformatics, Computer Science, Physics or related field, with a background and/or interest in applied topology, networks and discrete mathematics. 

The position is full time for a fixed term of 12 months, although the aim of this Pilot Project is to lead to proposals for further funding. The starting date is 01/01/2020 or as soon as possible thereafter. The full advert can be found at and informal enquiries can be made via email to

ATMCS 9: Call for Contributions

We are excited to announce the 9th installment in a conference series on Algebraic Topology: Methods, Computation, and Science (ATMCS), which will be held at the Ohio State University, on June 8–12, 2020. The local organizers are Prof. Tamal Dey, Prof. Matthew Kahle, Prof. Facundo Memoli and Prof. Yusu Wang from the TGDA@OSU group.

A key goal of the conference series is the further development of topological and geometrical techniques for use in applications in biology, materials science, neuroscience, among other fields, and the creation of new areas of applications. This conference series maintains a strong tradition of bringing together leading established researchers and young scientists in this emerging discipline, thus providing an opportunity for the exchange of experience and the development of new research ideas.

ATMCS9 invites submissions for contributed short talks (30 minutes) or research posters. For more information see

The website of the conference is being updated regularly with up to date information, so please be sure to check back as the conference date approaches. In particular, we expect to have some travel funding available. Priority for such funding will be given to early-career researchers and underrepresented groups. Details about funding applications will be made available around mid-March 2020.

Please don’t hesitate to write to if you have any questions. We look forward to welcoming you at OSU!

The ATMCS 9 organizing committee.

QMUL: Postdoc in Topological Analysis of Maritime Data

Applications are invited for the role of Postdoctoral Research Assistant to undertake research in the ‘Topological Analysis of Maritime Data’ project under the supervision of Dr. Primoz Skraba. This is a project funded from the Defence Science and Technology Laboratory and the Alan Turing Institute. The project will also include collaboration with Dr. Vidit Nanda at Oxford.

The role involves the application of topological data analysis techniques for anomaly detection. This involves various aspects of topological data analysis including but is not limited to persistent homology and the various tools to compute it, distances and statistics on persistence diagrams, and stratified spaces.

The appointee will need to have a PhD (or equivalent) in mathematics, computer science, or related (obtained or near to completion) or equivalent qualification.

For more information, see MathJobs