PhD candidate at ETH Zurich developing machine learning methods for spatial omics and cancer research.
Education#
PhD in Computer Science
Jul 2024 – Present
ETH Zurich, Institute of Machine Learning
Novel algorithms on spatial omics for cancer biomarker discovery and hypothesis generation. PI: Valentina Boeva.MSc in Computer Science
Sep 2021 – May 2024
ETH Zurich · GPA: 5.66 / 6.0
Major: Machine Intelligence. Minor: Data Management.
Master thesis: Graph Neural Network-Driven Analysis of Cellular Organization for Non-Small Cell Lung Cancer Precision Oncology — awarded the ETH Medal for an outstanding thesis.BSc in Computing
Jul 2018 – Jul 2021
FER, University of Zagreb, Croatia · GPA: 4.88 / 5.0
Bachelor thesis: Semantic Segmentation of Neoplasms in Magnetic Resonance Images using Deep Convolutional Neural Networks.
Experience#
Data Engineer Intern
Sep 2022 – Jan 2023
Unit8 SA
- Built a library for analysis of Spark plans on column level for tracking data lineage using Python
- Maintained and upgraded a data ingestion, processing and analysis pipeline for measuring business KPIs using Azure, Databricks and PowerBI
Honours & Awards#
ETH Grant
Dec 2024 – Dec 2027
ETH Zurich
Supporting PhD research on Decoding NSCLC: novel algorithms for spatial omics to reveal key structural patterns for cancer biomarker discovery and hypothesis generation.ETH Medal
Oct 2024
ETH Zurich
Awarded in recognition of an outstanding Master's thesis. Granted to top theses demonstrating exceptional academic merit and innovation.STEM Scholarship
Oct 2018 – Jul 2021
Croatian Ministry of Science and Education
Awarded to students with outstanding grades in university entrance exams; in subsequent years, to top-performing students in their programmes.Dean's List Award – Josip Lončar
Nov 2019 – Nov 2020
FER, University of Zagreb
For excellent achievements in undergraduate studies. Awarded to the top 1% of all students in the programme.
Skills#
ML & AI
Deep Learning Machine Learning Graph Neural Networks
Domain
Spatial Transcriptomics Computational Biology
Tools
Python PyTorch Spark Azure Git Linux LaTeX
Languages: Croatian (native), English (C2, TOEFL 119), German (C1, DSD II)
CV#
Download my full curriculum vitae:
Download CV (PDF)