We are excited to announce a week-long series of online talks, from January 11th to 16th, in collaboration with ATMCS. These talks were contributed to and accepted by ATMCS in 2020, which was cancelled/postponed due to Covid-19. We emphasize that our week-long series will not be ATMCS itself.
Each talk will last 20 minutes, and there will be two talks a day, scheduled at 11am and 11:30 am EST. Schedule information can be found here:
Thanks to Claudia Landi, and the rest of the ATMCS team, for their work in moving these talks online.
If you want to attend these talks, then please become an AATRN member by clicking on the “members” tab at https://topology.ima.umn.edu/. Closer to the date, we will email AATRN members the information for how to join the talks on Zoom. If you have any difficulties joining or obtaining the Zoom details, then please send an email to email@example.com.
We would like to invite you to attend a virtual seminar in the I-AIM seminar series “Data Science for Materials Discovery”. We are an NSF-funded research team working towards new frontiers in data-driven discovery for material science and engineering mechanics (https://i-aim.weebly.com). Our next speaker will be Professor Gunnar Carlsson from Stanford University, who will give a seminar entitled “Topological data analysis and applications” on Nov. 6th (Friday), 1:00 pm EDT (10am Pacific Time). Brief talk information is below, and more information about the seminar series can be found at https://i-aim.weebly.com/seminar.html.
The seminar will have a 40-45 min talk and 10-15 min discussion. The Zoom Meeting ID and password can be found below:
Thank you for your interest. Please do not hesitate to contact us if you have any questions.
Wei Chen, IIT Hendrik Heinz, U Colorado WaiChing Sun, Columbia University Yusu Wang, UC San Diego Yanxun Xu, JHU
Title: Topological data analysis and applications Abstract:Topological data analysis is a rapidly developing field with mathematics and statistics. It constructs mathematical notions of shape, and ways of measuring shape. I will discuss the methods, with examples to a number areas of the sciences and engineering.
About the Speaker: Gunnar Carlsson received his doctoral degree from Stanford, and has taught at University of Chicago, University of California at San Diego, Princeton University, and since 1991 at Stanford University. He has worked within the area of topology, the mathematical study of shape. Since 2000, he has been working on adapting topological ideas to the study of large and complex data sets. He led a multi-university DARPA initiative on this subject from 2005 to 2010. He co-founded the company Ayasdi in 2008, which has been commercializing the research.
The book goes from linear algebra to spectral sequences, containing data applications interspersed throughout. The author is interested in any comments or feedback, so please shoot him an email after checking it out!
With great pleasure we announce the launch of the AATRN Topological Complexity Seminar (AATRN-TCS).
The AATRN-TCS Fall session talks will be held once a month, on a Thursday, starting Thursday, Oct 22 at 10:30am Eastern. We will use the Zoom videoconferencing platform. Please take a look at the seminar web page for the schedule and speakers:
We are grateful to the Applied Algebraic Topology Research Network (AATRN) for supporting this online seminar. Regular reminders (and Zoom coordinates) for AATRN-TCS will be distributed through the AATRN mailing list, so please register as an AATRN member at https://topology.ima.umn.edu/
(if you have not already done so) to ensure receiving these reminders. As with regular AATRN activities, AATRN-TCS talks will also be available through the AATRN YouTube Channel.
We are advertising two similar positions, one broad position in machine learning and one more focused position in nonconvex inference and learning. Both positions allow for independent research and come with generous start-up packages for setting up a research group. See:
We wanted to bring to your attention an upcoming workshop — July 27 to July 31 — on applied topology, optimal transport and machine learning. These are rapidly-developing verticals with budding interactions that some of you might find interesting. The workshop will be entirely online, and hosted through MBI-Ohio State. More information on events, schedule and how to register can be found here:
Unfortunately, the ATMCS (Algebraic Topology: Methods, Computation, and Science) conference will not be happening in 2020. However, a subset of early-career ATMCS talks will be hosted in an online summer seminar series by AATRN (Applied Algebraic Topology Research Network). These talks were contributed and accepted for ATMCS, but this is not going to be ATMCS itself.
For a list of these ATMCS talks hosted by AATRN, please see our webpage: https://tgda.osu.edu/atmcs2020/atmcs-2020-talks-hosted-by-the-aatn/ The majority of the talks will be on Mondays at 11am-12pm Eastern Times, starting Monday, May 25. We will have two speakers per week, with each speaker giving a 20 minute talk. The first speakers (on Monday, May 25) are Vincent Divol and Théo Lacombe, on Studying the space of Persistence Diagrams using Optimal Partial Transport.
If you want to attend these talks, then please become an AATRN member by clicking on the “members” tab at https://topology.ima.umn.edu/. We will send out one announcement email to all AATRN members per talk, including information for how to join the talk on Zoom. You will receive an email with the Zoom details for our first May 25 talk either later today, or within a day after you first join the network. If you have any difficulties joining or obtaining the Zoom details (or for example want the Zoom details for the first talk before becoming an AATRN member), then please send an email to firstname.lastname@example.org.
Best, Henry Adams and Sara Kalisnik, AATRN Ulrich Bauer and Claudia Landi, ATMCS
The TDA group of KTH is currently hiring a PhD student. This position, based at the Mathematics department of KTH, has deadline 23-rd April and is sponsored by the WASP program (https://wasp-sweden.org/). The successful candidate will be supervised by Martina Scolamiero and Wojciech Chacholski. She or he will work with us and our group on various research topics, including: identifying stable invariants for generalized persistence, studying metrics between persistence modules, understanding statistical properties and applicability to Machine Learning of topological invariants. Furthermore the successful candidate will be offered courses in A.I through the WASP graduate school and have various interactions with machine learning experts and industry through WASP conferences and field trips. More information on the position and a link to apply can by found here:https://www.kth.se/profile/scola/. If you have any question don’t hesitate to contact Martina at the address: email@example.com