resume
Welcome to my resume! You can browse it here or download the PDF using the big blue/purple button.
Basics
| Name | Matias Barandiaran |
| Label | Computer Scientist |
| mbarandiaranr@gmail.com | |
| Phone | +49 15231626943 |
| Url | https://mbaranr.github.io |
| Summary | A Computer Science graduate from Lancaster University with over a year of research experience and a strong interest in software development, machine learning, and data engineering. |
Work
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2024.07 - 2024.09 Halle, Germany
Research Intern
Martin Luther University of Halle-Wittenberg
Hosted by the Faculty of Medicine.
- Worked on novel graph-level anomaly detection via latent space searching and generative adversarial networks (gladGAN) on molecular datasets, utilizing Python and PyTorch, and scikit-learn.
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2024.07 - 2025.08 Munich, Germany
Research Assistant
Technical University of Munich
Hosted by the Gagneur Lab in affiliation with Helmholtz Munich.
- Worked on rare variant association testing using deep learning and data-driven burden scores (DeepRVAT), utilizing Python, R, PyTorch and Snakemake
- First-hand exposure to HPC cluster management, Linux, and Git version control
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2023.10 - 2024.06 Leipzig, Germany
Teaching Assistant
Lancaster University Leipzig
Laboratory assistant and demonstrator for the Digital Systems module.
- Delivered engaging and informative instructional sessions to facilitate student understanding on low-level programming with MIPS assembly.
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2023.08 - 2023.09 Prague, Czechia
Research Intern
Charles University
Hosted by the Faculty of Mathematics and Physics.
- Designed production of Alethe verifiable proofs for the GOLEM Constrained Horn Clauses solver, utilizing C++.
- Contributed to the paper: Unsatisfiability Proofs for Horn Solving (2025) *won ETAPS best paper award*.
- First-hand exposure to Linux, the software development life cycle, continuous integration, object-oriented programming, and software verification.
Volunteer
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2024.08 - 2024.10 Lancaster, UK
Organizer
Global Advancement Fund
Co-Initiated and championed the approval process of Lancaster University’s Global Advancement Fund (≈€20k) to facilitate international collaboration between campuses worldwide
- Took 7 members of the Leipzig campus to the UK for a 4-day trip to work on an industrial waste sorting arm.
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2023.08 - 2023.08 Leipzig, Germany
Founder
Computer Science Society
Founded the computer science society at my institution.
- Dedicated to fostering a culture of innovation, diversity and problem-solving with a focus on robotics.
- Secured university funding for the purchase of robotics supplies (e.g. 3D printer, Arduinos, etc.).
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2023.08 - 2023.08 Leipzig, Germany
Lead Organizer
Qiskit Fall Fest
Organized and hosted a Quantum Computing (QC) event powered by IBM.
- Gave an introductory talk on QC and held workshops with Qiskit material.
- Assembled a series of seminars with special guests like Enrique Solano (Co-CEO of Kipu Quantum).
Education
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2022.10 - 2025.07 Leipzig, Germany
Bachelor of Science
Lancaster University
Computer Science
- University ranked #132 worldwide for Computer Science (QS by subject) in 2025.
- First Class Honours (UK: 91.2% ~ GPA: 4.00/4.00).
- Ranked 1st out of 212 students.
Awards
- 2025.10
Chancellor’s Medal
Lancaster University
The university’s most prestigious award, presented annually to graduating students who demonstrate exceptional merit in their field.
- 2025.10
Valedictorian
Lancaster University
Ranked 1st out of 212 students achieving the cohort’s highest average grade across all three years of the BSc Computer Science program.
- 2025.06
EASST Best Paper Award
International Joint Conferences On Theory and Practice of Software (ETAPS)
For the best ETAPS 2025 paper related to the systematic and rigorous engineering of software and systems.
Certificates
| PyTorch for Deep Learning | ||
| DeepLearning.AI | 2025 |
| Prompt Engineering for Developers | ||
| DeepLearning.AI | 2025 |
| AWS Certified AI Practitioner | ||
| Amazon Web Services | 2025 |
| Advanced Applications of Neural Networks and Deep Learning | ||
| University of Oxford | 2023 |
| Artificial Intelligence and Machine Learning: Theory and Practice | ||
| University of Oxford | 2023 |
Skills
| Tools | |
| Python | |
| R | |
| Java | |
| C | |
| C++ | |
| Git | |
| Linux | |
| SQL | |
| Snakemake | |
| Qiskit | |
| QEMU | |
| OS-Ken | |
| PyTorch | |
| Amazon Bedrock |
| Concepts | |
| Rare Variant Association Testing | |
| Data Pipelines | |
| Computer Vision | |
| Generative Modelling | |
| Supervised Learning | |
| Reinforcement Learning | |
| Graph Anomaly Detection | |
| Reservoir Computing | |
| Cloud Computing |
| Hobbies | |
| Game Development | |
| Fishwatching | |
| Badminton |
Languages
| Spanish | |
| Native speaker |
| English | |
| Fluent (C2) |
| German | |
| Beginner (A2) |