Sebastian "Sebo" Diaz
sebodiaz@csail.mit.edu · sdd@mit.edu · seboddiaz@gmail.com · sebodiaz.github.io
Updated July 2026
Curriculum Vitae
Updated July 2026
Overview
- HST MIT PhD candidate in RLE & CSAIL.
- Research interests in machine learning, (convex) optimization, representation learning, generalization, data augmentation, and reinforcement learning.
Education
Massachusetts Institute of Technology2023 – May 2028 (expected)
Ph.D. HST (Computer Science)GPA: 5.00 / 5.00
University of Arizona2019 – 2023
B.S. in Biomedical Engineering; Minor in MathematicsGPA: 3.95 / 4.00
Industry Experience
Machine Learning Research, Stealth StartupMay 2026 – Sept. 2026
Kendall Square, Cambridge, MA
- Post-training V/LLM research in non-verifiable RL settings.
Fellowships & Awards
Graduate Research Fellowship Program, National Science Foundation2024
MathWorks Graduate Fellow, MathWorks2024
School of Engineering – Distinguished Graduate Student Fellow, MIT2023
Program for Exemplary Mentoring Fellow, MIT2023
Goldwater STEM Scholarship, Goldwater Foundation2022
Sophomore of the Year, University of Arizona2021
Native Health Care Scholar, Udall Foundation2021
Publications
Lead Author
- Sebastian Diaz, Polina Golland, Elfar Adalsteinsson, Neel Dey. “Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It”. Preprint: arXiv:2604.02564, 2026.
- Sebastian Diaz, Benjamin Billot, Neel Dey, Mingxuan Zhang, Esra Abaci-Turk, Ellen Grant, Polina Golland, Elfar Adalsteinsson. “Robust Fetal Pose Estimation across Gestational Ages via Cross-Population Augmentation”. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
- Sebastian Diaz, Yamin Arefeen, Borjan Gagoski, Ellen Grant, Elfar Adalsteinsson. “Design of Novel RF Pulse for Fetal MRI Refocusing Trains Using Rank Factorization (SLfRank) to Reduce SAR and Improve Image Acquisition Efficiency”. International Society for Magnetic Resonance in Medicine (ISMRM), 2022.
Contributing Author
- Yingcheng Liu, Peiqi Wang, Sebastian Diaz, Benjamin Billot, Esra Abaci-Turk, Ellen Grant, Polina Golland. “Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose”. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.
- Molin Zhang, Nicolas Arango, Sebastian Diaz, Jacob White, Elfar Adalsteinsson. “Stochastic-Offset-Strategy Enhanced RF Pulse Optimization with Auto-Differentiation”. International Society for Magnetic Resonance in Medicine (ISMRM), 2024.
- Ricky Cordova, Kelli Kiekens, Susan Burrell, William Drake, Zaynah Kmeid, Photini Rice, Andrew Rocha, Sebastian Diaz, Shigehiro Yamada, Michael Yozwiak, Omar L. Nelson, Gustavo C. Rodriguez, John Heusinkveld, Ie-Ming Shih, David S. Alberts, Jennifer K. Barton. “Sub-Millimeter Endoscope Demonstrates Feasibility of In Vivo Reflectance Imaging, Fluorescence Imaging, and Cell Collection in the Fallopian Tubes”. Journal of Biomedical Optics, 2021.
Invited Talks
RepreSeg: Stable Representations for Domain Generalized Segmentation
MIT IMES Seminar, Cambridge, MADec. 12, 2025
Learning Alongside Invariant Representations: Robust Generalization in Medical Imaging
MIT IMES Department Retreat, Boston, MASept. 29, 2025
Relevant Coursework
MITDeep Learning, Numerical Methods, Computer Vision, fMRI Neuroscience
Harvard Medical SchoolPathology, Immunology, Genetics, Cardiovascular & Pulmonary Pathophysiology
Skills
ProgrammingPython, PyTorch, C++
TechnicalNumerical optimization, probability
Service
Reviewer, MICCAI: PIPPI2025–26
Reviewer, CVPR2026
Reviewer, NeurIPS2026