Lucas Resende
CREST Research Affiliate
I'm interested in developing and applying statistical methods to problems from all fields. So far, I've worked in robust statistics, network formation, and causal machine learning, with primary applications in health. Please feel free to get in touch!
Education
Instituto de Matemática Pura e Aplicada (IMPA)
2020 — 2024
PhD in Mathematics • Advisor: Roberto Imbuzeiro Oliveira • Rio de Janeiro, Brazil
Universidade Federal de Minas Gerais (UFMG)
2018 — 2020
MSc in Mathematics • Advisor: Ricardo Takahashi • Belo Horizonte, Brazil
Universidade Federal de Minas Gerais (UFMG)
2015 — 2018
BS in Computational Mathematics • Belo Horizonte, Brazil
Research
Causal Inference & Applied ML
Quantifying protocols for safe school activities (Epidemiological Modeling for COVID-19)
PLOS One, 2022
Deep hashing via householder quantization
Inference at Scale
Statistical Inference in Large Multi-way Networks
Incoming Talk at IAAE 2026
Bootstrap Inference for Fixed Effects in Network Formation
Working Paper
Robust Statistics
Trimmed sample means for robust uniform mean estimation and regression
Annals of Statistics (AoS), 2025
Robust high dimensional Gaussian and bootstrap approximations for trimmed sample means
Improved concentration for mean estimators via shrinkage
Applied Research & Industry Partnerships
I have worked in projects with industry partners to develop practical solutions to real-world problems. I worked in projects for the following companies:
SemantikMatch
BPCE
Globoplay
Vale
BH Airport
São João Alimentos
SemantikMatch
BPCE
Globoplay
Vale
BH Airport
São João Alimentos
Teaching, Mentoring & Service
École Polytechnique
2025
Lecturer • Introduction to Machine Learning
ENSAE Paris
2025
Teaching Assistant • Theoretical Foundations of ML • Advanced Machine Learning
IMPA Tech
2024
Lecturer • Linear Algebra (Lecture notes in Portuguese; exercises emphasize rigorous foundations).
FGV EMAp
2020, 2022
Teaching Assistant • Measure and Integration (2022) • Advanced Probability (2020)
IMPA
2021 — 2023
Teaching Assistant • Introduction to Probability, Computer Programming, ODEs, Optimization
UFMG
2019
Teaching Assistant • Real Analysis
Selected Distinctions & Invited Talks
- Oral Presentation, International Association for Applied Econometrics at Nova SBE (2026)
- Poster Presentation, School of Advanced Science in High-Dimensional Modeling at FGV (2025)
- Invited Talk, Recent Advances In Statistical Robustness at ESSEC Business School (2025)
- Invited Talk, 24th National Symposium on Probability and Statistics — SINAPE (2022)
- Gold Medal Winner (As Team Coach), International Collegiate Programming Contest (ICPC) Brazilian National Finals (Consecutive Years: 2022, 2023)
Peer Review Activity
Regular scientific peer reviewer for leading international journals and conferences across theoretical and applied mathematical vectors, including: Annals of Statistics, Bernoulli, Electronic Journal of Statistics (EJS), NeurIPS, AISTATS, and PLOS One.
Educational Outreach & Community Engagement
Espaço de Cria (Nova Iguaçu, RJ)
2020 — 2021
Co-founded and coordinated a popular education effort during the COVID-19 pandemic, structuring educational and cultural paths for children in socioeconomically vulnerable communities.
TransEnem (Belo Horizonte, MG)
2018
Volunteer Mathematics Instructor, delivering introductory and intermediate college admission preparatory programs for transgender and non-binary students.
"The best thing about being a statistician is that you get to play in everyone's backyard"
— John W. Tukey
— John W. Tukey