I'm a Master's student at EPFL, specializing in Life Sciences Engineering and Data Science.
I'm driven by the challenge of using Machine Learning and AI to solve complex, real-world problems. I have hands-on experience in data engineering, predictive modeling, and cloud computing, and I'm always eager to learn new tools and techniques.
I thrive in collaborative environments and enjoy working with diverse teams to build and deliver effective solutions. I'm a proactive problem-solver, passionate about turning data into meaningful insights.
École Polytechnique Fédérale de Lausanne (EPFL)
Master of Science, Life Sciences Engineering | Minor in Data Science (2024 - Present)
A curriculum focused on advanced computational methods and their application to complex biological systems. Coursework centers on Machine Learning, Generative AI, Applied Data Analysis, NLP, and Genomics.
École Polytechnique Fédérale de Lausanne (EPFL)
Bachelor of Science, Life Sciences Engineering (2020 - 2024)
Provided a strong interdisciplinary foundation in engineering, computational modeling, and life sciences. Key focus areas included Machine Learning for Bioengineers, Applied Software Engineering, Object-Oriented Programming, and Statistics.
Mentoring students in foundational courses, including physiology and linear algebra for first-year students. Helping students grasp complex concepts while strengthening my own scientific communication and teaching skills.
Conducted research on multimodal machine learning benchmarks for species and behavior recognition using Vision-Language Models. Built scalable evaluation pipelines using Run:AI (RCP) and containerized workflows, contributing to more reproducible ML experiments.
Led interactive, hands-on workshops designed to introduce children to the scientific method in a fun and engaging way.
Ensured public safety and provided emergency response in high-stress environments.
More project details are available in the Projects section below.
Helping to organize and facilitate the 2025 iGEM Grand Jamboree, supporting international teams and assisting with event logistics.
Developing a sample-to-sequence protocol for aquatic biodiversity monitoring. I am in charge of the bioinformatics pipeline, handling the data analysis after the PCR stage.
Responsible for content creation for the project, including managing the website and designing scientific posters to communicate our progress and findings.
Organising career-oriented events and acting as a liaison between the student body and faculty to ensure our voices are heard.
For our 2023 iGEM project, "Cadmium Catcher," our team was recognized for excellence in synthetic biology, education, and safety.