Hojjat Karami
Doctoral Assistant at EPFL (École polytechnique fédérale de Lausanne)
Lausanne, Vaud, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolHojjat Karami is a doctoral researcher and software engineer based in Lausanne with nine years’ experience building AI systems for healthcare data. At EPFL he develops novel models for irregularly sampled time series, GAN-based synthetic time-series generation, and LLM-driven structured EHR synthesis, bridging foundational-model research with clinical data challenges. His industry experience includes preparing large-scale EHR datasets and evaluation pipelines during a Roche internship, reflecting a strong focus on practical, regulatory-aware ML workflows. Trained in mechanical and electrical engineering at Sharif University and EPFL, he brings a rare mix of rigorous engineering fundamentals and deep learning research. Notably, his work targets the hard problem of realistically simulating clinical event streams—a capability that speeds model validation while preserving patient privacy.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at EPFL (École polytechnique fédérale de Lausanne)Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Sharif University of Technology
Persian, English, French
Github Skills (13)
synthetic8
generative-model8
data-augmentation7
fairness-ml7
synthetic-data7
machine-learning7
tabular6
data-science6
differential-privacy5
pytorch5
privacy4
prompt1
deep-learning1
Programming languages (6)
Github contributions (5)
smilyboy1996/NVHteam
Aug 2017 - Mar 2018
Contributions:1 PR, 124 pushes, 11 branches in 6 months
hojjatkarami/tedam2
Jan 2023 - Jul 2023
Contributions:471 pushes, 2 branches in 6 months
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