Research
My work revolves around Topological Data Analysis (TDA), in its theoretical
developments and practical applications.
Topological inference with TDA: Stability and consistency of Persistent Homology, estimation
of topological invariants other than homology groups, varifold formalism, detection of Lie group symmetries.
Combinatorial topology: Triangulation of topological spaces, simplicial approximation,
Lusternik–Schnirelmann category, classifying spaces, quantitative homotopy.
Concrete applications:
Medical image analysis, visualization of large graphs, Natural Language Processing (with a focus on
Brazilian law), equivariant neural networks.
Journal articles
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LieDetect: Detection of representation orbits of compact Lie groups from point clouds
(with Henrique Ennes), to appear in Foundations of Computational Mathematics 2025.
An algorithm for estimating linear orbits of Lie groups from finite samples, that also recovers
the exact
representation as a sum of irreps.
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Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case
classification
(with Henrique Ennes, Lucas Resck, Lucas T. Gomes,
Jean R. Ponciano, Jorge Poco), in Artificial Intelligence and Law 2025.
We assess the impact of binding precedents at the Brazilian Supreme Court level,
through time series of similar cases, and discuss the underlying legal mechanisms.
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ZigzagNetVis: Suggesting temporal resolutions for graph visualization
using zigzag persistence (with Jean Ponciano, Claudio Linhares, Agma Traina,
Jorge Poco), in IEEE Transactions on Visualization and Computer Graphics 2025.
Interactive visualization tool for large dynamic graphs with parameter-suggestion.
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Computing persistent Stiefel-Whitney classes of line bundles, in Journal
of Applied and Computational Topology 2021.
We define and study characteristic classes within the framework of persistent homology. We
implement an algorithm which estimates the orientability of datasets.
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Recovering the homology of immersed manifolds, in
Discrete & Computational Geometry 2023.
We adapt persistent homology to the case of point clouds sampled on a self-intersecting
manifold. We deduce a self-intersection-aware clustering algorithm.
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DTM-based filtrations (with Hirokazu Anai, Frédéric Chazal, Marc Glisse, Yuichi Ike,
Hiroya Inakoshi, Yuhei Umeda), in Abel
Symposium 2018
and International
Symposium on Computational Geometry 2019.
We define filtrations for persistent homology that are robust to noise and anomalous points.
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Preprints
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Train-Free Segmentation in MRI with Cubical Persistent Homology
(with Anton François), preprint, January 2024.
Segmentation in MRI scans using TDA and without deep learning.
Our method is based on the persistent homology of the image and the localization of
representative cycles.
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Simplicial approximation to CW complexes in practice, preprint, December 2021.
We study an algorithm which converts CW complexes into simplicial complexes.
We obtain a potential triangulation of the Grassmannian of planes in dimension 4.
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Conference articles (in Portuguese)
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O impacto da Súmula Vinculante 26 na diminuição de demanda similar no STF: uma análise
quantitativa por modelos de machine learning (with B. Chagas, C. Damian, A. Jaccoud, P.
de
Oliveira, H. Hennes, J. Poco, J. Ponciano, L. Resck), presented at XI Encontro
Internacional do CONPEDI 2022.
A comparison of NLP methods for the automatic classification of law documents.
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Progressão de regime em crimes hediondos no Supremo Tribunal Federal: uma análise empírica
pela Súmula Vinculante 26 (with B. Chagas, C. Damian, A. Jaccoud, P. de Oliveira, H.
Hennes, J.
Poco, J. Ponciano, L. Resck), presented at XI Encontro
Internacional do CONPEDI 2022.
An empirical analysis of Brazilian Supreme Court’s Precedent nº 26.
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PhD dissertation
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Topological inference from measures and vector bundles, defended
at
Laboratoire
de Mathématiques d'Orsay, October 2020.
Slides
and reports.
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Code
My PhD work is implemented in the package
velour
in Python. It can be downloaded via
PyPI or
GitHub.
My others articles are also implemented in Python and available on my
GitHub page.
Teaching
Graduation course at FGV EMAp (in Portuguese):
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2024, Cálculo Vetorial: Integrais múltiplas, de linha e de superfície, curso de graduação
do 2º ano.
O objetivo do curso é estudar integrais de funções de várias variáveis, bem como suas aplicações
geométricas e físicas.
Mais informações na página web do curso.
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Summer courses at FGV EMAp (undergraduate and master
students):
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2023, General and Combinatorial Topology, 3rd year graduation course.
Fundamental notions of point set topology (limits, continuity, metrics, compactness, density),
and introduction
to simplicial topology (including a proof of Borsuk-Ulam theorem).
More information on the course page.
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2021, Topological Data Analysis with Persistent Homology.
3rd year graduation course.
Fundamental notions of point set topology, simplicial homology, persistent homology (with a
sketch of proof
of the stability theorem).
More information on the course page.
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Assistant professor at Université
Paris-Saclay:
2017-2019 |
M257 |
TD Equations différentielles ordinaires, L2 Biologie-Chimie.
More information here. |
2017-2020 |
M331 |
TP Inférence statistique, L3 MINT. |
2017-2020 |
M326 |
TD Projet modélisation et calcul scientifique, L3 MINT. |
Advisorship
During my post-doc at FGV EMAp, I advised three student
projects.
2022-2023 |
Undergraduates Livia Cales, Victoria Cury, Samanta Clara Lopes, Eduardo Portol, João
Meirelles, Ana Rosenburg, Helena Torres. Fine-tuning legal language models via annotations.
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2021-2023 |
MSc student Henrique Hennes.
Adaptation of tools from Lie geometry to Data Analysis.
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2021-2023 |
Undergraduate students Beatriz S. Chagas, Ana C. M. Jaccoud, Carla M. Damian and Pedro B. de
Oliveira.
Development of Data Analysis techniques for Brazilian legal documents.
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Talks and posters
Invited and contributed talks
11 June 2025 |
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Online,
AATRN Seminar,
Detection of representation orbits of compact Lie groups from point clouds
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14 Feb 2025 |
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ESI,
Infinite-dimensional Geometry
Conference,
Train-Free Segmentation in MRI with Cubical PH
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17 Oct 2024 |
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UFF,
Seminário de análise,
LieDetect: Detecção de órbitas de representações de grupos de Lie
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4 Oct 2024 |
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UFRJ,
Sextas Matemáticas,
LieDetect: Detecção de órbitas de representações de grupos de Lie
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31 July 2024 |
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UFBA,
XXIII Encontro Brasileiro De Topologia,
Classifying spaces in TDA
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28 May 2024 |
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Online,
Seminário
PMA,
LieDetect
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25 April 2024 |
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FGV Rio,
EMAp seminar,
Simplicial approximation in practice
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8 Mar 2024 |
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FGV Rio,
Brazilian Workshop on Continuous
Optimization,
LieDetect
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31 Jan 2024 |
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Online,
Datashape Seminar,
LieDetect
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19 Jan 2023 |
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FGV Rio, Workshop On
Legal
Digital
Intelligence,
TDA and Súmulas Vinculantes
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21 Nov 2022 |
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USP São Carlos, ICMC
Seminário,
TDA para escolha de resolução temporal na visualização de grafos
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14 Sept 2022 |
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Santiago, Chile, XI Encontro
do CONPEDI,
O impacto da SV 26 na diminuição de demanda similar no STF
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13 Sept 2022 |
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Santiago, Chile, XI Encontro
do CONPEDI,
Progressão de regime em crimes hediondos no STF
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June 2022 |
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Mathematical Institute Oxford, ATMCS,
Simplicial approximation to CW-complexes in practice
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8 June 2021 |
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Online, SoCG Minisymposium Comp. Top.,
Simplicial approximation to CW-complexes in practice
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Dec 2020 |
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Applied Algebraic Topology
Network,
Persistent Stiefel-Whitney classes
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Nov 2020 |
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Online, EPFL
Applied Topology Seminar,
Persistent Stiefel-Whitney classes
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Oct 2020 |
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Orsay LMO Univ.
Paris-Sud,
PhD Defense, Topological inference from measures and vector bundles
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June 2020 |
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Online, Symposium of Computational
Geometry,
Recovering the homology of immersed manifolds
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Mar 2020 |
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Inria Saclay, Datashape
seminar,
Introduction aux classes de Stiefel-Whitney
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Oct 2019 |
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Inria Saclay, Datashape
seminar,
Recovering the homology of immersed manifolds
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June 2019 |
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Portland, Symposium on
Computational Geometry,
DTM-based filtrations
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June 2018 |
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IST Austria, Algebraic Topology: Methods,
Computation and Science,
DTM-based filtrations
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Overview of TDA
18 June 2024 |
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UFRJ,
CCMN,
Minicurso TDA II/II: Inferência homológica
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11 June 2024 |
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UFRJ,
CCMN,
Minicurso TDA I/II: Invariantes topológicos
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5 Oct 2023 |
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Online, Dynamical Systems & Applications,
TDA Minicourse IV/IV: Python tutorial
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3 Oct 2023 |
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Online, Dynamical
Systems & Applications,
TDA Minicourse III/IV: Persistent homology
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28 Sept 2023 |
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Online, Dynamical Systems & Applications,
TDA Minicourse II/IV: Homological inference
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26 Sept 2023 |
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Online, Dynamical Systems & Applications,
TDA Minicourse I/IV: Topological invariants
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26 Jan 2023 |
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FGV Rio, Summer
School on Data Science,
TDA Minicourse III/III: Persistent homology
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26 Jan 2023 |
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FGV Rio, Summer
School on Data Science,
TDA Minicourse II/III: Homological inference
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25 Jan 2023 |
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FGV Rio, Summer
School on Data Science,
TDA Minicourse I/III: From topology to data analysis
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24 Nov 2022 |
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USP São Carlos, ICMC
Seminário,
Análise Topológica de Dados e suas aplicações
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9 June 2021 |
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Online, EMINES,
Analyse Topologique des Données II/II : Homologie persistante
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26 May 2021 |
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Online, EMINES,
Analyse Topologique des Données I/II : Invariants topologiques
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April 2021 |
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FGV Rio, EMAp Seminário,
Topological inference in TDA II/II: Persistence barcodes
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April 2021 |
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FGV Rio, EMAp
Seminário,
Topological inference in TDA I/II: Topology in datasets
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Dec 2020 |
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UMPA Lyon, Séminaire EDP Modélisation,
Inférence topologique avec l'homologie persistante
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May 2020 |
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LMO Orsay, Séminaire informel,
Introduction à l'homologie persistante
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Miscellaneous
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I used to conduct the MATh.en.JEANS workshop in Collège Alain Fournier (Orsay).
It is an introduction to research for middle school students, resulting in a scientific-like
article.
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A gentle introduction to persistent homology, in French.
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