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Nicole Wheeler
Birmingham, United Kingdom
My research involves developing novel computational methods for flagging dangerous strains of bacteria using data gathered by global surveillance networks, and exploring how we can use machine learning to better understand the evolution of bacterial pathogens.
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36.5
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Developer
United Kingdom
Top 50
Perl
Developer
United Kingdom
Top 50
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Developer
United Kingdom
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Perl
21.3
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Shell
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Jupyter Notebook
8
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List your work history, including any contracts or internships
University of Birmingham
10 months
Research Fellow
May 2021 - Oct 2021 (5 months)
Honorary Research Fellow
Nov 2020 - Apr 2021 (5 months)
Nuclear Threat Initiative Contract
Oct 2020 - Oct 2021 (1 year)
Technical Consultant
Working closely with the NTI | Bio Technical Consortium for DNA Sequence Screening and its subordinate working groups to develop technical specifications for an international common mechanism for synthetic DNA sequence screening. The role involves active coordination with NTI and a range of senior representatives from foundations, universities, businesses, and non-governmental organizations.
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The Centre for Genomic Pathogen Surveillance
Aug 2018 - Oct 2020 (2 years 2 months)
Data Scientist
Partnered with multi-disciplined personnel across international organisations to identify stakeholder needs, develop technical solutions, and streamline implementation. Architected data sets and workflows for assembling machine learning models for predicting antibiotic resistance. Engineered a dynamic organisational machine learning skills development programme for the Wellcome Sanger Institute, including the assembly of training modules, development of corresponding budgets, and opportunities for continuous improvement.
Key Achievements:
• Spearheaded educational activities for school students and the public on artificial intelligence, antimicrobial resistance and infectious disease, delivered online, in high schools, science festivals and campus open days.
• Developed lectures, masterclasses and workshops to introduce students to machine learning in biology, delivered at the Sanger Institute, University of Cambridge and other universities.
Interacted with Facebook’s Privacy department to determine the serviceability of user data in a global health context without compromising user privacy.
• Facilitator in World Health Organisation technical consultation on the use of whole-genome sequencing for the surveillance of antimicrobial resistance, helping coordinate discussions, developing summary recommendations, and offering technical expertise in bioinformatic prediction.
Key Achievements:
• Spearheaded educational activities for school students and the public on artificial intelligence, antimicrobial resistance and infectious disease, delivered online, in high schools, science festivals and campus open days.
• Developed lectures, masterclasses and workshops to introduce students to machine learning in biology, delivered at the Sanger Institute, University of Cambridge and other universities.
Interacted with Facebook’s Privacy department to determine the serviceability of user data in a global health context without compromising user privacy.
• Facilitator in World Health Organisation technical consultation on the use of whole-genome sequencing for the surveillance of antimicrobial resistance, helping coordinate discussions, developing summary recommendations, and offering technical expertise in bioinformatic prediction.