Geometry and Topology meet Data Analysis and Machine Learning

We would like to draw your attention to the “Second Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning (GTDAML2021)” to be held online July 30 – August 1, 2021. This is the second edition of the conference that was first held at The Ohio State University in 2019.
The goal of the conference is to bring together graduate students to share their work, interests, and presence in the flourishing research landscape connecting applications of Geometry and Topology to Data Analysis and Machine Learning. We aim to enhance discussion and collaboration via poster sessions, short presentations, and discussion panels.
The program will include a special lecture by Professor Deanna Needell from the Department of Mathematics at UCLA. In addition, we will have a discussion panel on industry and research. Some of our confirmed panelists include: Professor Lorin Crawford (Microsoft Research and Brown University), Professor Marco Cuturi (Google Brain and CREST – ENSAEInstitut Polytechnique de Paris), and Jesse Zhang (PhD Stanford, Co-Founder at Beacons).
Students may apply to give a 20 minute talk (through Zoom) or a poster presentation (through gather.town). Talks and posters do not have to be about the participants’ own research, and expository talks are also very welcome. Students are encouraged to apply to give a talk, but if a talk cannot be scheduled due to time limitations, students are invited to present a poster instead. We are expecting to schedule around 20 talks in total. Registration details can be found at https://gtdaml.wixsite.com/2021. The deadline for applying to give a talk is June 7.

Please contact the organizing committee via gtdaml2021@gmail.com if you have any questions.

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