Pedro Seber

PhD student, Chemical Engineering, Massachusetts Institute of Technology

Joined

January 2024

Names

Pedro Seber (Preferred)

Emails

****@mit.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Chemical Engineering, Massachusetts Institute of Technology (mit.edu)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisor

2022 – Present

Expertise

Deep Learning

2021 – Present

RNNs

2021 – Present

Computational Biology

2021 – Present

Automatic Machine Learning

2021 – Present

Machine Learning

2021 – Present

Publications

LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
Pedro Seber, Richard Braatz
- Accepted by TMLR
- Readers: Everyone
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
Pedro Seber, Richard Braatz
- AISTATS 2025 Poster
- Readers: Everyone
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models
Pedro Seber, Richard Braatz
- Submitted to ICLR 2025
- Readers: Everyone
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models
Pedro Seber, Richard D. Braatz
- CoRR 2024
- Readers: Everyone
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
Pedro Seber
- CoRR 2024
- Readers: Everyone

Co-Authors