Belén Martín-Urcelay

Ph.D. student in Computer Engineering at Georgia Tech.

burcelay3 [AT] gatech.edu

Bio

I am a Ph.D. candidate at Georgia Tech, advised by Matthieu Bloch and Christopher Rozell. My research focuses on efficiently teaching machine learning algorithms. Namely, we leverage knowledgeable teachers — whether human experts or powerful machine learning networks — to enhance learning algorithm performance. I am set to complete my Ph.D. in May 2026, with the goal of continuing my journey in academia.

I began my academic career at Universidad de Navarra, where I obtained both my B.Sc. and M.Sc. in Telecommunications Engineering. I later moved to Georgia Tech for my Ph.D. and since I have had the opportunity to collaborate internationally, including a research visit to ETH Zurich with Andreas Krause. My research interests include active learning, human feedback and reinforcement learning. Outside of research, I am passionate about teaching, mentoring students, and promoting women in STEM fields.

Research

Most recent publications on Google Scholar.
‡ indicates equal contribution.

Online Machine Teaching under Learner's Uncertainty: Gradient Descent Learners of a Quadratic Loss

Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch

SIMODS '25: Accepted at SIAM Journal on Mathematics of Data Science. 2025.

Paper Code

Enhancing Human-in-the-Loop Learning for Binary Sentiment Word Classification

Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch

CDC '24: Conference on Decision and Control. Dec. 2024.

Paper Slides Code

Reinforcement Learning from Human Text Feedback: Learning a Reward Model from Human Text Input.

Belen Martin-Urcelay, Andreas Krause, Giorgia Ramponi

ICML '24 Workshop on Models of Human Feedback for AI Alignment. July 2024

Paper Poster

Online Machine Teaching under Learner's Uncertainty: Gradient Descent Learners of a Quadratic Loss

Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch

SIMODS '25: Accepted at SIAM Journal on Mathematics of Data Science. 2025.

Paper Code

MANGO: Disentangled Image Transformation Manifolds with Grouped Operators

Brighton Ancelin‡, Yenho Chen‡, Alex Saad-Falcon‡, Peimeng Guan‡, Chiraag Kaushik‡, Nakul Singh‡, Belen Martin-Urcelay‡

SampTA '25 [Oral]: Sampling Theory and Applications. July 2025.

Paper

Enhancing Human-in-the-Loop Learning for Binary Sentiment Word Classification

Belen Martin-Urcelay, Christopher J. Rozell, Matthieu R. Bloch

CDC '24: Conference on Decision and Control. Dec. 2024.

Paper Slides Code

Reinforcement Learning from Human Text Feedback: Learning a Reward Model from Human Text Input.

Belen Martin-Urcelay, Andreas Krause, Giorgia Ramponi

ICML '24 Workshop on Models of Human Feedback for AI Alignment. July 2024

Paper Poster

Temperature-Dependent I/Q Imbalance Compensation in Ultra-Wideband Millimeter-Wave Multi-Gigabit Transmitters

Ainhoa Rezola, Juan F. Sevillan, David del Río, Belen Martin-Urcelay, Iñaki Gurutzeaga, Igone Vélez, Roc Berenguer

IEEE Transactions on Microwave Theory and Techniques. Jan. 2020

Paper

Teaching Experience

Introduction to Probability and Statistics for ECE (ECE 3077)
  • Introduction to probability, random variables, distributions, estimation, confidence intervals, linear regression and other tools for describing and managing uncertainty in electrical and computer engineering.
  • Lecture and develop course materials for 60 third year undergraduate engineering students.

Instructor of Record | Georgia Tech. | January 2025 - May 2025

Leadership

Mentoring
I have been fortunate to supervise and collaborate with students at Georgia Tech on semester-long projects
  • Yoonsan Lee – Focused on active learning techniques.
  • Zhihao Qin – Focused on experiment design.
  • Vien Tran – Focused on experimental infrastructure and data collection.
  • John Burchfield – Focused on data analysis.
Graduate Chair, Women in Electrical and Computer Engineering (WECE)
Since founding the Graduate Chair role in 2021, I have been leading initiatives to encourage a strong community among female graduate students in ECE at Georgia Tech. Our primary focus is on mentoring and networking, fostering professional and personal growth.
Workshop Organization
I am co-organizing the Models of Human Feedback for AI Alignment (MoFA) workshop at ICML 2025. This workshop brings together researchers from diverse fields to explore how AI systems can better interpret and align with human feedback.

Vitæ

Full Resume in PDF.

  • Georgia Tech. 2022 - 2026
    Ph.D. Student
    Advisors: Christopher Rozell and Matthieu Bloch
  • ETH Zurich Fall 2023
    Guest Graduate Researcher
    Advisor: Andreas Krause
  • Georgia Tech. 2020 - 2022
    M.Sc. Student
    Electrical and Computer Engineering
  • University of Sheffield Spring 2020
    Master Thesis
    Advisor: Iñaki Esnaola
  • Universidad de Navarra 2019 - 2020
    M.Sc. Student
    Telecommunications Engineering
  • Developair Jul 2019 - Jan 2020
    Software Developer
    Worked on automatic simulation parameter adjustment tools
  • Fraunhofer IIS Sep-Dec 2018
    Research Assistant
    Audio Department
  • Ceit-IK4 Jan-Jul 2018
    Bachelor Thesis
    Telecommunication Department
I made this webpage using Martin Saveski's template, available here.
Belén Martín-Urcelay
burcelay3 [AT] gatech.edu