Research Methods Specialist
CurrentData engineering with Python/NIFI for the CALM Study at The Krembil Centre for Neuroinformatics
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Dan Nichol is listed as Data Engineer at The Krembil Centre for Neuroinformatics at CAMH, a company with 2993 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Dan Nichol.
Dan Nichol previously worked as Research Methods Specialist at Camh and Senior Data Analyst at The Hospital For Sick Children. Dan Nichol holds Ai Residency Program, Data Science And Machine Learning from 1000Ml.
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Daniel Nichol is a researcher, programmer and data scientist. He has over 6 years of experience analyzing and managing data in academic, governmental and business settings. He also has 8 years of academic experience in the fields of physics, biology, neuroscience, and machine learning. Throughout his professional and academic career he has shown a great ability to quickly learn new technologies and concepts and deftly apply them to the task at hand. In his free time he enjoys hockey, writing, photography, travel, music, and board games.https://github.com/silvrowlhttps://www.danielnichol.com/
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Toronto, Ontario, Canada
Data engineering with Python/NIFI for the CALM Study at The Krembil Centre for Neuroinformatics
Toronto, Ontario, Canada
- Creating, managing and analyzing clinical databases for the IPSS (International Paediatric Stroke Study) and the Children's Stroke Program using REDCap/Python/Pandas- Lead of the IPSS Data Working Group, collaborating with international investigators to facilitate scientific research and improvement of database practices - Feasibility and data quality.
Toronto, Ontario, Canada
- Managing and analyzing clinical databases for the IPSS (International Paediatric Stroke Study) and the Children's Stroke Program using REDCap/Python/Pandas- Data mapping of archival databases to current databases- Creation and Maintenance of the IPSS Analytics Dashboard in Google DataStudio- Contributed to multiple research manuscripts, grant submissions.
Toronto, Ontario, Canada
- Designed and implemented a new PostgreSQL relational database architecture using AWS. Improved ETL procedures by extracting all hidden data, reducing database load times and enacting scheduling using Apache Airflow. - Identified opportunities for increased sales and cost cutting measures using various machine learning methods- Created extensive.
Toronto
- Preprocessed and analyzed fMRI and behavioral data from cognitive aging studies using relevant Matlab and Python based software (CONN, FSL, AFNI, FreeSurfer). - Wrote machine learning and statistical analysis algorithms for multiple imaging and network analysis studies. - Managed Terabytes of imaging data and provided technical and data support for the lab
Toronto
Review of experimental methods for eye movement tracking using induced currents in scleral search coils.
Ottawa
-Collated Canadian precipitation data for the last 30 years, from various sources to be used in a national groundwater model.- Performed data quality checks and resolved discrepancies across the dataset
Ottawa
- Collated and organized solar image datasets from across the world and combined them according to spatial location and data quality- Created models of the Sun's magnetic field to be used as boundary conditions for modelling coronal mass ejections, and their subsequent effect on earth's weather.
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Caroline Hebblethwaite
Colleague at Camh
Toronto, Ontario, Canada, Canada
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EY
Ephrem Y
Colleague at Camh
Scarborough, Ontario, Canada, Canada
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Sadaf Kohistani
Colleague at Camh
Etobicoke, Ontario, Canada, Canada
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Thalia Phi
Colleague at Camh
Pickering, Ontario, Canada, Canada
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MT
Maria Teodora Secara
Colleague at Camh
Toronto, Ontario, Canada, Canada
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CN
Celina Nguyen
Colleague at Camh
Canada, Canada
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JH
Jason Hernandez
Colleague at Camh
Mississauga, Ontario, Canada, Canada
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Anne Lum
Colleague at Camh
Canada, Canada
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Cecilia Cede
Colleague at Camh
Woodbridge, Ontario, Canada, Canada
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Michael Chaiton
Colleague at Camh
Toronto, Ontario, Canada, Canada
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Topics Covered: - Preparing datasets (ETL) for usage with machine learning - Feature engineering and validation metrics for machine.
Topics Covered: - Pattern Classification - Optimization Algorithms - Systems Control Engineering - Biomedical Engineering - Imaging and.
Completed a physics degree with a minor in biology with a focus on neuroscience. Also completed 4 co-ops at 3 locations.
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Dan Nichol works for CAMH.
Dan Nichol is listed as Data Engineer at The Krembil Centre for Neuroinformatics at CAMH.
Dan Nichol is based in Toronto, Ontario, Canada while working with CAMH.
Dan Nichol has worked for Camh, The Hospital For Sick Children, 1000Ml, Rotman Research Institute At Baycrest, and Sickkids.
Dan Nichol's colleagues at CAMH include Caroline Hebblethwaite, Ephrem Y, Sadaf Kohistani, Thalia Phi, and Maria Teodora Secara.
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Dan Nichol holds Ai Residency Program, Data Science And Machine Learning from 1000Ml.
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