Curriculum Vitae
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Education
PhD in Machine Learning & Computer Vision University of St. Gallen, 2021-present
Advisor: Damian Borth
- Thesis: Learning from Implicit Signals for Remote Sensing - exploring physical, attention-based, modality, and model-space supervision.
- Focus: multimodal foundation models, weak supervision.
M.Sc. in Data Science EPFL, 2018-2020
- Master thesis: “Iterative Self-Learning: Reducing the Cost in ASR Systems” (Swisscom Digital Lab).
- Focus: machine learning, computer vision, NLP.
B.Sc. in Electrical & Electronic Engineering EPFL, 2015-2018
- Focus: signal processing, image processing.
Professional Experience
PhD Student Researcher - Google Research (Health AI) Zürich · Oct 2023 - Jan 2024
- Developed conversational assistant for radiotherapy patients (Med-PaLM-based).
- Worked on retrieval grounding and clinical evaluation setup.
Machine Learning Intern - Swisscom Digital Lab Lausanne · Feb 2020 - Sept 2020
- Developed active and semi-supervised learning for low-cost ASR data labeling.
- Created scalable data pipelines for iterative self-training.
Machine Learning Intern - Logmind AI Lausanne · Jun 2019 – Sept 2019
- Implemented anomaly detection and predictive maintenance from time-series logs.
Teaching
Teaching Assistant
- Introduction to ML/DL - 2025 (Instructor: Damian Borth)
- Computer Vision - 2023 (Instructor: Michael Mommert), 2024 (Instructor: Christos Sakaridis)
- Artificial Intelligence - 2024, 2025 (Instructor: Damian Borth)
Co-supervision
- Kaan Aydin (Master) - “SAR-to-RGB Translation with Latent Diffusion for Earth Observation”, 2025
- Yosef Asefaw (Bachelor) - “Deep Clustering for Traffic Camera Vehicle Detection”, 2024
Skills
Programming
- Python (PyTorch, TensorFlow, NumPy, Pandas, scikit-learn, openCV)
- Bash, Git, Docker, Linux
Machine Learning & Vision
- Deep Learning, Vision Transformers, Multimodal Learning
- Diffusion Models, Masked Autoencoders, Self-supervised Learning
- Mixture-of-Experts, Model Pruning, Foundation Models
Remote Sensing & Data
- Multispectral and radar imagery
- Geospatial data analysis with rasterio and geopandas
- Data preprocessing, large-scale dataset creation
Communication & Writing
- Academic writing and conference presentations
- Fluent in English, French and Arabic, Basic German speaker
Awards
- Best Student Paper Award, CVPR EarthVision Workshop 2022
Publications
See the Publications page.