Table of contents
Work
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2020.03 - 2023.08
University of Glasgow
Teaching Courses:
- Programming and Systems Development (Python, Java, SQL), 2019/2020
- Machine Learning & Artificial Intelligence for Data Scientists, 2019/2020
- Deep Learning for MSc, 2019/2020
- Data Fundamentals, 2020/2021
- Introduction to Data Science & Systems, 2020/2021
- Machine Learning, 2020/2021
- Machine Learning & Artificial Intelligence for Data Scientist, 2020/2021
- Deep Learning for MSc, 2022/2023
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2020.03 - Present
DotPhoton AC
- Led the histopathology group in the European Synthetic Realistic (SyReal) project.
- Collaborated with industrial and academic research groups (HEPIA, Fraunhofer HHI, University of California, AIgnostics, LMU Munich).
- Developed end-to-end features for ML cloud service.
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2019.03 - 2019.10
Sapienza, University of Rome
Investigated light forces on crystal spheres using optical tweezers.
- Technologies/skills: confocal microscopy, optical tweezers, spatial light modulators (SLMs), Python
- Project: Trapping Forces in Optical Tweezers.
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2019.03 - 2019.10
Sapienza, University of Rome
Directly observed and analysed second-order phase transition in ferroelectric nonlinear crystals for the first time.
- Technologies/Skills: nonlinear optics, statistical mechanics, spatial light modulators (SLMs).
- Project: Ferroelectric Cluster Dynamics in Biased Super-Crystals
Education
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University of Glasgow, United Kingdom
- Successfully integrated forward models into machine learning systems, improving model accuracy by ∼ 20%, interpretability, and robustness while reducing dependency on extensive training data.
- Designed and developed satellite imagery emulation from drone data based on optics and sensor prior knowledge.
- Developed DiffInfinite, a novel generative model to generate arbitrarily large images from sparse annotated data. The model samples in half of the time and with higher fidelity than previous methods for large content generation.
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Sapienza University of Rome, Italy
Curriculum: Condensed Matter Physics