Computational & Algorithmic Topology, Sydney (CATS 2020)

Computational & Algorithmic Topology, Sydney (CATS 2020)

The University of Sydney, 27-31 July 2020


This workshop at the University of Sydney will bring together experts and emerging researchers from Australia, the USA and Europe to report on recent results and explore future directions in computational and algorithmic topology and related areas. There will be a focus on problems in computational geometric topology and computational algebraic topology. This workshop aims to stimulate interaction between researchers in order to bring about new collaborations on difficult problems that cannot be tackled from one viewpoint alone.

We plan to have talks by our invited speakers in the mornings, and open problem sessions, a poster session, and plenty of time for collaboration in the afternoons.

Invited Speakers:

Herbert Edelsbrunner (Institute of Science and Technology Austria)
Brittany Fasy (Montana State University)
Gregory Henselman (Princeton University)
Feng Luo (Rutgers University)
Zuzana Patáková (Institute of Science and Technology Austria)
Jessica Purcell (Monash University)
Vanessa Robins (Australian National University)


Jonathan Spreer (The University of Sydney)Stephan Tillmann (The University of Sydney)
Katharine Turner (Australian National University)

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

Oxford Applied Topology School – Second Announcement

Dear Colleagues,

We’d like to make a second announcement for the Oxford Applied Topology School (OxATS), which will take place at the University of Oxford in the UK, from the 30th March to 3rd April 2020. The School is designed for early career researchers in Computational and Applied Topology to meet and learn about topics in the field under the guidance of senior researchers. The Applied Topology School will feature 3 mini-lecture series:

Geometric and Topological Inference: Frédéric Chazal, Inria Saclay
Topological Complexity: Petar Pavešić, University of Ljubljana
Sheaf Theory, Homological Algebra, & Data Analysis: Michael Robinson, American University

Participants are encouraged to present their research during a poster session. Limited free accommodation is available for early-career researchers.


  • Application for accommodation: Friday 10 January 2020
  • General registration: Friday 28 February 2020
  • Poster titles and abstracts: Friday 28 February 2020

For more details concerning accommodation, financial support, registrations fees and deadlines see the OxATS website.

We hope you will be interested in joining the school and we look forward to hearing from you. Please do not hesitate to contact us with any queries at

This event is supported by the Oxford Centre for Topological Data Analysis

Oxford Applied Topology School Organising Committee

Naya Yerolemou
Oliver Vipond
Ambrose Yim
Jacob Leygonie
Barbara Mahler

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 positions in Topological Data Analysis at KTH

The mathematics department at KTH offers up to two, two years, postdoc positions to join the Topological Data Analysis group. The TDA group currently consists of two faculty members: Wojciech Chacholski and Martina Scolamiero, one postdoc Rayan Ramanujan and three PhD students: Oliver Gavfert, Francesca Tombari and Alvin Jin. We work on a variety of topics including: studying the topology of decompositions of simplicial complexes, defining and computing stable invariants for multi-persistence, applications of TDA to machine learning and neuroscience. Furthermore KTH offers an inclusive and exciting atmosphere with plenty of opportunities to collaborate for example with the algebraic geometry group, researchers working on mathematical foundations of A.I, the Brummer & Partners MathDataLab and the WASP program. Although in the announcement it is stated that a PhD is required to apply, we are going to  consider applications of everyone who will graduate before the start of the position. 

The application deadline is 20 January 2020. For more information on the position and the application process please follow the link: