Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
- Robert Küffner
- Neta Zach
- et al.
- 2014
- Nature Biotechnology
Bio
I use math and computing to bring insight to complex biological problems. Recently I have been working on collaboration-by-competition projects; since 2010 I have contributed to the DREAM project as an organizer and scorer.
I hold a PhD in Computer Science from Tel Aviv University, where I wrote my thesis on “Algorithms for Protein Docking” while co-authoring 10 papers on the subject. I also have an MSc in Computer Science from Weizmann Institute of Science, with a thesis on “A Model for the Adjustment of the Mitotic Clock by cyclin and PMF levels”; this work is published in Science. I also earned a BSc in Engineering Sciences from Universidad de Chile.
The PLoS Collection of DREAM papers
On 2015 I earned The Outstanding Technical Achievement Award (OTAA, the highest technical award of IBM) at IBM for 'Crowdsourcing As a New Paradigm for Biomedical Research: the DREAM and Improver Projects'.
On 2016 I earned an A level Science Accomplishment Award at IBM for 'Speech and Text Analytics for Detecting Neuropsychiatric Conditions'.
On 2017 I was recognized with an Outstanding Technical Achievement Award (OTAA) by demonstrating the Practice: Restlessly Reinvent IBM and Ourselves for my work on Psych-e.
On 2019 I earned the Research Division Award (RDA) for our work on Parkinson's Disease Monitoring and Measurement.
On 2021 I was recognized with an Outstanding Research Accomplishment Award for Scientific Discoveries on Disease Progression.
Publications
A crowd-sourcing approach for the construction of species-specific cell signaling networks
- Erhan Bilal
- Theodore Sakellaropoulos
- et al.
- 2014
- Bioinformatics
Understanding the limits of animal models as predictors of human biology: Lessons learned from the sbv IMPROVER Species Translation Challenge
- Kahn Rhrissorrakrai
- Vincenzo Belcastro
- et al.
- 2014
- Bioinformatics
Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets
- Sahand Hormoz
- Gyan Bhanot
- et al.
- 2014
- Bioinformatics
Inter-species pathway perturbation prediction via data-driven detection of functional homology
- Christoph Hafemeister
- Roberto Romero
- et al.
- 2014
- Bioinformatics
Predicting protein phosphorylation from gene expression: Top methods from the IMPROVER Species Translation Challenge
- Adel Dayarian
- Roberto Romero
- et al.
- 2014
- Bioinformatics
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge
- Michael Biehl
- Peter Sadowski
- et al.
- 2014
- Bioinformatics
Strengths and limitations of microarray-based phenotype prediction: Lessons learned from the IMPROVER Diagnostic Signature Challenge
- Adi L. Tarca
- Mario Lauria
- et al.
- 2013
- Bioinformatics
Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach
- Pablo Meyer
- Geoffrey Siwo
- et al.
- 2013
- Genome Research
Critical assessment of automated flow cytometry data analysis techniques
- Nima Aghaeepour
- Greg Finak
- et al.
- 2013
- Nature Methods
Patents
- US
- 11880651
- US
- 11139079
- US
- 11037520
- US
- 9160533
- US
- 9148281
- US
- 9009675
Top collaborators
GC
Guillermo Cecchi
Principal Research Staff Member - Computational Psychiatry and Neuroimaging
BW
Bo Wen
Staff Research Scientist, AGI Expert, Master Inventor, Cloud Architect, Tech Lead for Digital Health
CA
Carla Agurto
Research Staff Member
KN
Kenney Ng
Principal Research Scientist, IBM Research | Science Program Manager, MIT-IBM Watson AI Lab