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M.S.

University of California, Berkeley

Mechanical Engineering

Ph.D.

University of California, Berkeley

Mechanical Engineering

• Biomechanics
• Machine Learning
• Scientific Computing
• Biofluid Dynamics
• Finite Element Method
• Deep Learning for Image Analysis

Doctoral Transfer

Boston University

Biomedical Engineering (Ph.D. coursework)

Visiting Scholar

Stanford University

International Honors Program

B.S.

University of Iceland

Mechanical Engineering

Postdoctoral Position

The University of Texas at Austin — Oden Institute for Computational Engineering and Sciences

Research focuses on integrating artificial intelligence, medical imaging, and computational modeling to study physiology and advance medicine. Expanding research to explore clinically driven applications of AI and simulation, with the goal of developing digital tools that bridge computational models and patient care.

• Advisor: Prof. Charles A. Taylor

Research Internship

Kerecis — Research and Development

• Advisor: Prof. Sigurður Brynjólfsson

Graduate Research

University of California, Berkeley — Mechanical Engineering Department

Earned Ph.D. in Mechanical Engineering. Work with Prof. Shawn Shadden combined biomechanics, machine learning, and image-based modeling to improve vascular segmentation and simulation. Doctoral projects introduced open-source tools for automated vascular reconstruction and simulation-ready mesh generation from medical images.

• Advisor: Prof. Shawn C. Shadden
• SeqSeg: Open-source tool for automated vascular reconstruction
• MeshGrow: Open-source tool for simulation-ready mesh generation from medical images

Undergraduate Research

University of Iceland — Department of Medicine

• Advisor: Prof. Thórarinn Guðjónsson

Research Intern

Kerecis

Worked on material property analysis for medical biomaterials.

• Collaborated on R&D for regenerative medical materials.

Graduate Researcher

University of California, Berkeley — Mechanical Engineering Department

Developed deep learning–based methods for automatic vascular model construction and trajectory-oriented vessel tracking in medical imaging. Integrated physics-based modeling and machine learning to enable patient-specific cardiovascular simulations.

• Developed SeqSeg: a deep learning framework for coronary artery segmentation
• Created MeshGrow: an automated pipeline for unified cardiac and vascular mesh generation
• Contributed to SimVascular open-source cardiovascular modeling software
• Mentored undergraduate and MEng teams in medical image analysis projects

Undergraduate Researcher

University of Iceland — Department of Medicine

Developed computational models for new lung experimental technologies.

Automatic Vascular Model Construction from Medical Imaging Using Deep Learning

University of California, Berkeley

Ph.D. Dissertation. Explores deep learning for automated vascular model construction.

Integrated Framework for Unified Cardiac and Vascular Mesh Construction from Medical Images

Functional Imaging and Modeling of the Heart (FIMH 2025)

N. Sveinsson Cepero, A. Narayanan, and S. C. Shadden. Introduces MeshGrow, a unified framework for simulation-ready cardiovascular mesh generation.

SeqSeg: Learning Local Segments for Automatic Vascular Model Construction

Annals of Biomedical Engineering

N. Sveinsson Cepero and S. C. Shadden. Presents a deep learning method for segmenting and reconstructing vascular models from medical imaging data.

Co-organizer and instructor for SimVascular tutorials and workshops at international conferences

CMBBE 2025 and ASME SB3C 2025

Academic service

Vice President

SINE – Association of Icelandic Students Abroad

Leadership and board roles

Volunteer contributor to the SimVascular open-source community

Academic service — software development, documentation, and user support

Reviewer for MICCAI (Medical Image Computing and Computer Assisted Intervention) Conference submissions

Academic service

Board Member

SINE – Association of Icelandic Students Abroad

Leadership and board roles

Member of departmental panels

University of California, Berkeley

Academic service — advising on curriculum and research initiatives

Promotional and outreach work

University of Iceland

Outreach / advocacy

NORDTEK Student Board

Leadership and board roles

Board Member, School of Engineering and Natural Sciences

University of Iceland

Leadership and board roles

University of Iceland Student Council

Leadership and board roles

Amnesty International Youth Council

Outreach / advocacy

UC Berkeley Engineering Ph.D. Commencement Speech

UC Berkeley College of Engineering

UC Berkeley Mechanical Engineering Department Spring Scholarship

University of California, Berkeley

Landsbankinn Graduate Scholarship

Landsbankinn, Reykjavik, Iceland

UC Berkeley Mechanical Engineering Department Summer Fellowship

University of California, Berkeley

CVID Award, Student Presenter

Cardiovascular Implant Durability Conference

UC Berkeley Graduate Division Block Grant

University of California, Berkeley

Landsbankinn Graduate Scholarship

Landsbankinn, Reykjavik, Iceland

Hearts To Humanity Award

Hearts To Humanity

Leif Eiriksson Fellowship

Leif Eiriksson Foundation

Boston University Fellowship

Boston University

Baccalaureate Commencement Speech

University of Iceland

Scholarship to Attend Stanford University

Stanford University

Íslandsbanki Undergraduate Scholarship

Íslandsbanki

Landsbanki Undergraduate Scholarship

Landsbanki

University of Iceland Student Achievement & Incentive Fund

University of Iceland

SeqSeg

Deep learning–based framework for automated segmentation of coronary arteries from CT images.

MeshGrow

Framework for unified cardiac and vascular mesh construction from medical images.

SimVascular

Open-source cardiovascular modeling software. Contributed features and documentation.

MIROS

Toolkit linking patient-specific medical imaging data to reduced-order hemodynamic simulations.

Vascular Model Repository

Online platform for sharing and visualizing vascular geometries and simulation data.