Bence Szalai
Research Team Lead at HUN-REN - Institute of Molecular Life Sciences
Budapest, Hungary
Summary
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Senior🎓
Top SchoolBence Szalai is a computational biology research lead with 10 years of experience bridging cancer pharmacogenomics, machine learning, and systems pharmacology. Currently heading research at Turbine and consulting for TheraMe!, he translates perturbation signatures and pathway activity inference into predictive models of drug sensitivity and synergy. His background spans academia and industry—from postdoctoral work in Julio Saez‑Rodriguez’s group to teaching and medical training—giving him a rare mix of clinical insight and quantitative modeling skills. He has a PhD in Molecular Medicine and practical EM emergency-room experience, which informs a translational focus on actionable biomarkers and therapeutic stratification. Colleagues know him for turning complex omics and signaling data into robust ML-driven hypotheses that advance precision oncology.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Molecular Medicine, Doctor of Philosophy (Ph.D.), Molecular Medicine at Semmelweis University
English, German, Hungarian
Github Skills (13)
computational-biology6
r-package6
bioinformatics5
biology5
biomechanics4
responsive4
inference3
science2
medical2
python2
code-analysis1
infrastructure1
data-science1
Programming languages (3)
Github contributions (5)
bence-szalai/why-pathway-methods-work
Aug 2019 - Oct 2020
Contributions:107 commits, 27 pushes, 1 branch in 1 year 2 months
bence-szalai/Cell-death-signatures
Feb 2019 - Mar 2020
Contributions:70 commits, 17 pushes, 4 comments in 1 year 1 month
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