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Home  >  Speakers  >  Sandor Szalma
Sandor Szalma

Sandor Szalma

Global Head, Director, Adjunct Professor | San Diego, California    United States of America
Biochemistry And Molecular Genetics, Bioinformatics
Computational Biology, Reverse Translation,...More
Spoken at 2 events
Speaking at 1 event

Biography :

=Sandor Szalma is Global Head, Computational Biology in Takeda Pharmaceuticals. He is responsible for computational biology, computational and statistical genetics, machine learning and informatics approaches supporting target discovery and validation/reverse translation and forward translation/biomarker and patient stratification in neuroscience, gastroenterology, rare disease, and oncology. He serves as a member of the governance board of Open Targets and leads the Takeda engagement in the Regeneron Whole Exome Sequencing of UK Biobank Consortium. Before joining Takeda, he was head of Translational Informatics and External Innovation, R&D IT in Janssen Research & Development, LLC.

Previously, he was a member of the industry advisory committee of ELIXIR, a member of the board of the Pistoia Alliance, a member of the Translational Medicine Advisory Committee of the PhRMA Foundation and led the Data & Knowledge Management Strategic Governance Group of Innovative Medicine Initiative. His past positions included president of MeTa Informatics, general manager of QuantumBio and senior director of Computational Biology and Bioinformatics at Accelrys, Inc. He was the co-founder of Acheuron Pharmaceuticals, Inc.

He lectured at UCSD Extension and was an adjunct professor at Rutgers University in the Computational Biology and Molecular Biophysics program. He is the author of 45 scientific publications and book chapters and two patents. He received his doctoral degree in physical organic chemistry from A. Szent-Györgyi Medical University in Szeged, Hungary.

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Biochemistry and Molecular Genetics, Bioinformatics

Interested Topics

Computational Biology, Reverse Translation, Translational Research, Biomarkers, Digital Biomarkers, Computational Genomics, Statistical Genetics, Data Mining, Machine Learning, Molecular Modeling, Translational Bioinformatics, Medical Informatics

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English, Russian, Hungarian

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