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AI/ML Research Engineer working in precision medicine, high-performance computing, digital twins, and foundational machine learning modeling.
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Skills
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About
Stefan is a Cambridge MPhil in Advanced Computer Science graduate with Distinction under Prof. Pietro Liò from the University of Cambridge and Prof. Dr. Sarah Teichmann at the Wellcome Sanger Institute. Chevening & Cambridge Trust Scholar. His current research focus is on computational neuro-oncology where he works on multi-modal graph learning for digital twin modeling of CNS tumor evolution and therapy response.
Nationality
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Experience
2024 – Present
AI/ML Research Engineer, Member of Technical Staff, Health Team
Stealth
Precision Oncology + ML + Digital Twins
2024 – Present
AI (Life Sciences) Lead
BIO4 Campus
Organizing Committee · 6th Belgrade Bioinformatics Conference (BelBi) 2026
2024 – 2025
Visiting Postgraduate Researcher
University of Cambridge
2023 – 2024
Graduate Researcher
Cambridge Centre for AI in Medicine
2022 – 2023
Python Engineer & Data Scientist
BlueGrid.io
2021 – 2022
Technical Team Intern
Jozef Stefan Institute & Institute of Oncology Ljubljana
IT/Developer at REKONIO – Regional Congress of Internal Oncology, Ljubljana
2021 – 2022
Data Scientist Intern
Microsoft
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Education
PhD in Artificial Intelligence
University of Belgrade · Accepted 2024 (full-ride) · Ranked 1st · Not pursued
Thesis: Multi-Modal Graph Learning for Neuro-Oncology: Digital Twin Modeling of CNS Tumor Evolution and Therapy Response
MPhil in Advanced Computer Science
University of Cambridge · Collaboration with Wellcome Sanger Institute
Thesis: scMultiGraph: single-cell Multiomic modelling with Message Passing Graph Neural Networks
CULTC Mens Blues Tennis · Churchill College
BSc + MSc in Computer Science & Data Science (Computational Biology)
Singidunum University
Thesis: Improving Melanoma Detection through Enhanced Data Exploration, Image Augmentation and Deep Neural Networks
Google Developer Group on Campus · University of Belgrade
05
Awards
Cambridge Impact Leader
Cambridge Commonwealth, European & International Trust, University of Cambridge
National PhD Full-Ride Scholarship Offer
Republic of Serbia, University of Belgrade
Chevening Scholarship
Foreign, Commonwealth & Development Office
Cambridge Trust Scholarship
University of Cambridge
Science and Research Full-Ride Scholarship
Undergraduate Studies
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Publications
The COVID-19 Images Classification by MobileNetV3 and Enhanced Sine Cosine Metaheuristics
Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for MRI Classification of Glioma Brain Tumour Grade
Feed-forward Neural Network Training by Hybrid Bat Algorithm
Multi-layer Perceptron Training by Genetic Algorithms
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Television, Talks & Conferences
RTS National Television Serbia
AI and Biotechnology in the Fight Against Cancer (Stefan Milosevic) | RTS Zdravstveni dnevnik
Workshop
Lecturer
Lecturer
Google Developer Group on Campus · Google Nexus: AI & ML in Practice · University of Belgrade
Hackathon
Judge
Judge
Google Developer Group on Campus · Google Nexus: AI & ML in Practice · University of Belgrade
Keynote
ADOS · 2nd Open Balkan Digestive Oncology Expert Meeting
Keynote
DSC Europe · DigiHealth Conference
Keynote
HPC Serbia · EuroCC4SEE
Speaker
Speaker
University of Oxford · Reuben College
Panellist
Serbian Medical Society · Oncology Section
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Podcasts
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News
Translational Oncology Research
HPC Serbia, EuroHPC
Shaping the Future of Oncology and Transforming How We Treat Cancer
The Cambridge Trust
Stefan Milosevic Undergraduate IEEE Publications Recognition
Undergraduate Studies
Associated Member
