Curriculum

A pdf version of my CV is available here.

Education

Ph.D. in Computer and Information Science - University of Pennsylvania, Fall 2024/Now

Advisor: Eric Wong

M.S. in Mathematical Modeling - Getulio Vargas Foundation (FGV), 2021/2023

Advisors: Jorge Poco and Marcos M. Raimundo (Unicamp)
Dissertation: Multi-objective Optimization in Machine Learning - A Systematic Review

B.S. in Applied Mathematics - Getulio Vargas Foundation (FGV), 2017/2020

Advisors: Jorge Poco and Marcos M. Raimundo (Unicamp)
Bachelor’s dissertation: Application of multi-objective optimization in machine learning problems to decrease discrimination

Publications

Manuscripts under review

Vitoria Guardieiro, A. Khare, A. Stein, E. Wong. “Instruction following by principled attention boosting”. Under review at NeurIPS 2026. Earlier versions presented at NeurIPS 2025 Workshop MechInterp (spotlight), ICLR 2026 Workshop Sci4DL, and ICLR 2026 Workshop Trustworthy AI.
Vitoria Guardieiro, F. L. Usberti, Jorge Poco, F. J. V. Zuben, Marcos M. Raimundo. “An efficient box-based scalarization algorithm for non-convex multi-objective optimization”. Under review at European Journal of Operational Research.

Peer-reviewed publications

G. Valdrighi, A. M. Ribeiro, Jansen S. B. Pereira, Vitoria Guardieiro, A. Hendricks, D. M. Filho, J. D. N. Garcia, F. F. Bocca, T. B. Veronese, L. Wanner, Marcos M. Raimundo. (2025). “Best practices for responsible machine learning in credit scoring”. Neural Computing and Applications.
P. Silva, Vitoria Guardieiro, B. Barr, C. Silva, L. G. Nonato. (2025). “Visagreement: Visualizing and Exploring Explanations (Dis)Agreement”. IEEE Transactions on Visualization and Computer Graphics.
Vitoria Guardieiro, F. I. de Oliveira, H. Doraiswamy, L. G. Nonato, C. Silva. (2024). “TopoMap++: A faster and more space efficient technique to compute projections with topological guarantees”. IEEE Transactions on Visualization and Computer Graphics.
P. Solunke, Vitoria Guardieiro, J. Rulff, P. Xenopoulos, G. Y. Y. Chan, B. Barr, L. G. Nonato, C. Silva. (2024). “Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations”. IEEE Transactions on Visualization and Computer Graphics.
Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2023). “Enforcing fairness using ensemble of diverse Pareto-optimal models”. Data Mining and Knowledge Discovery.
Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2022). “Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance”. Proceedings of the 15th International Conference on Educational Data Mining.

Experience

New York University

Research Scientist – Oct 2023/Jul 2024
- Researched Topological Data Analysis for Machine Learning explainability at the Visualization Imaging and Data Analysis Center (VIDA) with Professor Claudio Silva
Visiting Researcher – Jan 2023/Apr 2023
- Visited VIDA and worked with Professor Claudio Silva on using Topological Data Analysis for comparing machine learning explanation methods

Getulio Vargas Foundation

Graduate Researcher – March 2021/Jun 2023
- Researched Multi-Objective Machine Learning and elaboreted an extensive survey of the field
- Developed Fair Machine Learning models based on Multi-Objective Optimization and Ensemble Learning
Undergraduate Researcher – Aug 2017/Sep 2019
- Studied neural networks and some methods derived from it, such as Recurrent Neural Networks, applying a model to generate music from a database, and Deep Reinforcement Learning, applying it to game models.
- Worked with Waze data, developing a clustering algorithm for interval time-spatial structures.
- Studied Logic and Natural Language Processing, contributing to databases such as Open Multilingual Wordnet (OMW) and Suggested Upper Merged Ontology (SUMO).
- Participated in the elaboration of the Consumer Price Index - Web (IPC-Web), a joint project between the School of Applied Mathematics (EMAp) and the Brazilian Institute of Economics (IBRE). In the project, I was responsible for filtering and classifying the products from the database resulting from the crawler used.

Gabriel Tecnologia
SoftBank-funded AI startup that develops technology focused on public security.

Data Science Intern/Data Scientist – May 2020/Jul 2021
- Developed computer vision object detection, classification, and tracking models for the automatic detection of anomalies in security camera videos (Python, PyTorch).

BTG Pactual
The largest investiment bank in Latin America.

IT Intern – Jan 2020/Apr 2020
- Developed dashboards, visualizations, and metrics for internal IT products (SQL, C++).

PSR - Energy Consulting and Analytics
Global provider of technological solutions and consulting services in the areas of electricity and natural gas (E&G) since 1987.

Mathematical Modelling Intern – Jan 2019/Sep 2019
- Developed optimization programs for maintenance scheduling in thermoelectric and hydroelectric plants (Julia, JuMP).

Teaching Assistant

University of Pennsylvania

CIS 7000 - Accelerating Research with Generative AI, Fall 2025
CIS 1990 - Introduction to Designing LLM Agents, Spring 2026

Getulio Vargas Foundation

Awards & Scholarships

Coordination for the Improvement of Higher Education Personnel (CAPES)
M.Sc. Scholarship - Mar 2021/Feb 2023

FGV’s Center for the Development of Mathematics and Science (CDMC)
B.Sc. Scholarship - 2017/2020

Brazilian Mathematical Olympiad of Public Schools (OBMEP)

Gold medal (2016) - Top 0.001%
Bronze medal (2015) - Top 0.03%
Silver medal (2014) - Top 0.01%
Silver medal (2013) - Top 0.01%
Bronze medal (2012) - Top 0.03%
Bronze medal (2011) - Top 0.03%

Jovens Gênio Algar (JoGAr) - Coding Marathon

First place in the advanced category (2016) - Top 1%
Third place (2015) - Top 5%
Fourth place (2014) - Top 5%

BeeCrowd (previously URI Online Judge) - Competitive Programming Platform
Top 0.2% of users

Skills

Programming languages: Python, Julia, Matlab, R, C, C++, Javascript

Languages: Portuguese (Native) and English (TOEFL 112/120)

Last update: Jul 23, 2026

Vitoria Guardieiro