Ivan Protsyuk
I am a software engineer at Google Health working on the team that builds a mammography screening software to predict breast cancer. My path in Alphabet started in 2018, when I joined DeepMind and started working on a team developing a DNN architecture to predict several adversary clinical events from patients' medical records focussing on acute kidney injury. This work was eventually published in Nature.
Prior to Alphabet, I was a bioinformatician at European Molecular Biology Laboratory (Heidelberg, Germany) developing novel methods for mass-spectrometry-based spatial metabolomics. And before that I was part of the team developing an open-source bioinformatics software suite Unipro UGENE (Novosibirsk, Russia) for the analysis and visualization of genomic data.
I got MS with honours and BS with honours in Physics at Novosibirsk State University.
Prior to Alphabet, I was a bioinformatician at European Molecular Biology Laboratory (Heidelberg, Germany) developing novel methods for mass-spectrometry-based spatial metabolomics. And before that I was part of the team developing an open-source bioinformatics software suite Unipro UGENE (Novosibirsk, Russia) for the analysis and visualization of genomic data.
I got MS with honours and BS with honours in Physics at Novosibirsk State University.
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Concept-based model explanations for Electronic Health Records
Diana Mincu
Eric Loreaux
Shaobo Hou
Sebastien Baur
Martin G Seneviratne
Anne Mottram
Nenad Tomasev
Jessica Schrouff
Association for Computing Machinery, New York, NY, USA (2021), 36–46
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Nenad Tomašev
Sebastien Baur
Anne Mottram
Xavier Glorot
Jack William Rae
Michal Zielinski
Harry Askham
Andre Saraiva
Valerio Magliulo
Clemens Meyer
Suman Venkatesh Ravuri
Alistair Connell
Cían Hughes
Julien Cornebise
Hugh Montgomery
Geraint Rees
Christopher Laing
Clifton R. Baker
Thomas Osborne
Ruth Reeves
Demis Hassabis
Dominic King
Mustafa Suleyman
Trevor John Back
Christopher Nielsen
Martin Gamunu Seneviratne
Shakir Mohamad
Nature Protocols (2021)
Multi-task prediction of organ dysfunction in the ICU using sequential sub-network routing
Diana Mincu
Eric Loreaux
Anne Mottram
Jessica Schrouff
Hugh Montgomery
Ali Connell
Nenad Tomašev
Martin Seneviratne
Journal of the American Medical Informatics Association (JAMIA) (2021)
A clinically applicable approach to continuous prediction of future acute kidney injury
Nenad Tomašev
Xavier Glorot
Jack W Rae
Michal Zielinski
Harry Askham
Andre Saraiva
Anne Mottram
Clemens Meyer
Suman Ravuri
Alistair Connell
Cían O Hughes
Julien Cornebise
Hugh Montgomery
Geraint Rees
Chris Laing
Clifton R Baker
Kelly Peterson
Ruth Reeves
Demis Hassabis
Dominic King
Mustafa Suleyman
Trevor Back
Christopher Nielson
Shakir Mohamed
Nature, 572 (2019), pp. 116-119
