cv
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Basics
Name | Numi Sveinsson Cepero |
Label | Engineer, Applied AI and Data Scientist |
numisveinsson@gmail.com | |
Url | https://numisveinsson.com |
Summary | A data scientist and engineer with a background in mechanical engineering and machine learning. I am passionate about using computation, data and modeling to solve real world problems and build products. I have experience in applied AI, graphics, scientific computing and modeling biomechanics. I am currently working on my PhD in biomechanical engineering at University of California, Berkeley. |
Work
- 2020 - Present
Graduate Student Researcher
Department of Mechanical Engineering, University of California, Berkeley
Currently working on my PhD in biomechanical engineering at University of California, Berkeley. Working on developing automatic methods to contruct 3D models of human blood vessels from medical images. Also working on developing methods to simulate blood flow in the human body.
- Biomechanics
- Fluid mechanics
- Medical imaging
- Machine learning
- Scientific computing
Volunteer
- 2018 - 2019
- 2018 - 2019
Board of School of Engineering and Natural Sciences
Student representative on the board of School of Engineering and Natural Sciences at University of Iceland
- 2017 - 2019
Education
-
2020 - Present MSc / PhD
University of California, Berkeley, Berkeley, CA, USA
Mechanical Engineering
- Biomechanics
- Biofluid Mechanics
- Numerical Methods for PDEs
- Parallel Computing
- Finite Element Analysis
- Machine Learning
- Computer Vision
- Deep Learning
-
2016 - 2019 BSc
University of Iceland, Reykjavik, Iceland
Mechanical Engineering
- Calculus
- Linear Algebra
- ODEs, PDEs
- Physics
- Fluid Mechanics
- Thermodynamics
- Heat Transfer
- Mechanics of Materials
- Mechanical Design
- Mechanical Vibrations
- Control Systems
Awards
- 2021.01.01
Leif Eriksson Scholarship
Leif Eriksson Foundation
Awarded for academic excellence, leadership and community service. Used to fund my PhD studies at UC Berkeley.
- 2023.10.23
CV Presentation Award
Cardiovascular Implant Durability Conference
Chosen to present my vascular modeling work at the conference.
Publications
-
2024.09.18 SeqSeg: Learning Local Segments for Automatic Vascular Model Construction
Annals of Biomedical Engineering
We present SeqSeg (sequential segmentation): a novel deep learning-based automatic tracing and segmentation algorithm for constructing image-based vascular models.
Languages
English | |
Native Speaker |
Icelandic | |
Native Speaker |
Danish | |
Intermediate |
Spanish | |
Intermediate |
French | |
Beginner |