Answer ALS, a large-scale resource for sporadic and familial ALS combining clinical and multi-omics data from induced pluripotent cell lines
- Emily G. Baxi
- Terri Thompson
- et al.
- 2022
- Nature Neuroscience
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
Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions
- Daniel S. Barron
- Stephen Heisig
- et al.
- 2022
- Computational Psychiatry
Investigating the utility of multimodal conversational technology and audiovisual analytic measures for the assessment and monitoring of amyotrophic lateral sclerosis at scale
- Michael Neumann
- Oliver Roesler
- et al.
- 2021
- INTERSPEECH 2021
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge
- Solveig K. Sieberts
- Jennifer Schaff
- et al.
- 2021
- npj Digital Medicine
Identifying signals associated with psychiatric illness utilizing language and images posted to Facebook
- Michael L. Birnbaum
- Raquel Norel
- et al.
- 2020
- npj Schizophrenia
Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths
- Carla Agurto
- Mary Pietrowicz
- et al.
- 2020
- EMBC 2020
Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease
- Raquel Norel
- Carla Agurto
- et al.
- 2020
- npj Parkinson's Disease
Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing
- Carla Agurto
- Guillermo Cecchi
- et al.
- 2020
- Neuropsychopharmacology
A new approach for automating analysis of responses on verbal fluency tests from subjects at-risk for schizophrenia
- Mary Pietrowicz
- Carla Agurto
- et al.
- 2019
- INTERSPEECH 2019
Analyzing progression of motor and speech impairment in ALS
- Carla Agurto
- Mary Pietrowicz
- et al.
- 2019
- EMBC 2019
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