TORI


Next generation data reduction
with Topological Data Analysis

   News

 ·  Don't miss our next hybrid seminar by Joshua Levine on neural visualization. [Jul. 6, 2022]
 ·  Henry Adam's seminar is now available online! [Jun. 10, 2022]
 ·  Don't miss our next hybrid seminar by Henry Adams on persistence images. [Jun. 2, 2022]
 ·  Don't miss our next online seminar by Brian Summa on large-scale imaging. [May. 13, 2022]
 ·  We had an awesome tutorial at IEEE VIS 2021. Videos are now available here! [Nov. 12, 2021]
 ·  After 7 years of development, TTK is now officially integrated in ParaView! [Oct. 16, 2021]
 ·  To celebrate this milestone, we have released TTK version 1.0! [Oct. 16, 2021]
 ·  We have one open internship position! (with Ph.D. follow-up) [Sep 22, 2021]
 ·  Our paper on Persistence Diagram Approximation has been accepted to IEEE LDAV! [Aug. 14, 2021]
 ·  Our paper on Wasserstein barycenters of Merge Trees has been accepted to IEEE VIS! [Jul. 22, 2021]

TORI develops the next generation data reduction tools based on Topological Data Analysis.
If you need to handle large-scale datasets, focus on the core structural information present in your data thanks to our algorithms. If you are interested in training and support, please feel free to contact us.

TORI researches, designs, implements and distributes new algorithms for the interactive analysis of large collections of datasets, based on concise structural representations of the data. Our work covers new methods for the comparison of topological data representations, as well as new approaches for the computation of these representations at scale.
Checkout our Publications page for more details!

TORI hires!

If you are passionate about computer science, maths and data, come and work with us. We have several openings for various seniority levels (engineers, post-docs, Ph.D. students, interns).
Checkout our Jobs page!