Pavol Harar
Computational Scientist For BioAI & Cryo-Electron Tomography
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolPavol Harar is a PhD-trained machine learning research engineer with a decade of experience building deep learning solutions across computer vision, time-series, and bioimaging. Currently a core computational scientist at ISTA, he develops AI-driven cryo-EM/ET workflows that bridge supercomputer-scale engineering with hands-on microscope simulation and reconstruction. As co-founder of ACAI.AI he has led cross-disciplinary teams delivering production ML systems—once beating a bank’s in-house team by 35% on churn prediction—and he has a track record of shipping reusable research software (e.g., Redistributor, Gabor/Mel-Scattering). His work sits at the intersection of rigorous math and practical deployment, from advising governments on pandemic testing strategies to creating differentiable tomographic pipelines now used in structural biology. Based in Vienna, he combines academic depth with startup pragmatism to move novel ML methods from prototype to production.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Brno University of Technology
English, Slovak, Czech, German
Github Skills (126)
python10
deep-learning10
gpu10
numpy10
ml10
neural-network10
jupyter10
docstrings10
tensorflow10
jupyterlab-extension10
machine-learning10
jupyterlab10
deep-neural-networks10
statistics9
tensor9
Programming languages (13)
Github contributions (5)
Chromatin-Structure-Rhythms-Lab/ChlamyAnnotations
Dec 2024 - Dec 2025
Particle annotations for the large-scale cryo-ET dataset of Chlamydomonas reinhardtii
Contributions:7 reviews, 9 PRs, 24 pushes in 11 months
paloha/MLSummerSchoolVienna2022
Jul 2022 - Jul 2022
ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
Contributions:15 commits, 14 pushes, 2 branches in 2 days
machine-learning
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