Sonia J.
Research Scientist at Bill & Melinda Gates Foundation- Claim this Profile
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Bio
Credentials
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Intermediate Python
DataCampDec, 2020- Nov, 2024
Experience
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Bill & Melinda Gates Foundation
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United States
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Non-profit Organizations
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700 & Above Employee
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Research Scientist
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Oct 2023 - Present
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The Washington Post
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United States
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Newspaper Publishing
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700 & Above Employee
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Machine Learning Engineer
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Jan 2023 - Oct 2023
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The Johns Hopkins University
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United States
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Higher Education
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700 & Above Employee
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Graduate Research Assistant
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Jan 2021 - Dec 2022
Advised by Dr. Lauren Gardner at the JHU Center for Systems Science and Engineering, using data science and systems engineering to work on a range of complex, interdisciplinary problems with the goal of understanding and improving societal systems. Worked to develop, maintain, and deploy machine learning models for real-time epidemiological forecasting of COVID-19 cases and deaths for the US COVID-19 Forecast Hub. Current research focus is on ethical implementation of AI at scale for uses such… Show more Advised by Dr. Lauren Gardner at the JHU Center for Systems Science and Engineering, using data science and systems engineering to work on a range of complex, interdisciplinary problems with the goal of understanding and improving societal systems. Worked to develop, maintain, and deploy machine learning models for real-time epidemiological forecasting of COVID-19 cases and deaths for the US COVID-19 Forecast Hub. Current research focus is on ethical implementation of AI at scale for uses such as decision-making and resource allocation. Relevant coursework: Bayesian Statistics, Network Modeling, Operations Research, Machine Learning, Data Science. Expected graduation: December 2022. Show less Advised by Dr. Lauren Gardner at the JHU Center for Systems Science and Engineering, using data science and systems engineering to work on a range of complex, interdisciplinary problems with the goal of understanding and improving societal systems. Worked to develop, maintain, and deploy machine learning models for real-time epidemiological forecasting of COVID-19 cases and deaths for the US COVID-19 Forecast Hub. Current research focus is on ethical implementation of AI at scale for uses such… Show more Advised by Dr. Lauren Gardner at the JHU Center for Systems Science and Engineering, using data science and systems engineering to work on a range of complex, interdisciplinary problems with the goal of understanding and improving societal systems. Worked to develop, maintain, and deploy machine learning models for real-time epidemiological forecasting of COVID-19 cases and deaths for the US COVID-19 Forecast Hub. Current research focus is on ethical implementation of AI at scale for uses such as decision-making and resource allocation. Relevant coursework: Bayesian Statistics, Network Modeling, Operations Research, Machine Learning, Data Science. Expected graduation: December 2022. Show less
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Microsoft
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United States
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Software Development
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700 & Above Employee
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Software Engineer
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Aug 2019 - Jul 2021
Worked in the Microsoft Digital organization, providing engineering and support for the foundational team's instance of ServiceNow and related systems integrations/human interaction workflows. Built solutions on microservices architecture which reflected best practices for workflows based on Azure functions, logic apps, event hub, and API management. Provided support and monitored telemetry to maintain a 99.9% availability rate for the services managed by the team. Responded to LiveSite… Show more Worked in the Microsoft Digital organization, providing engineering and support for the foundational team's instance of ServiceNow and related systems integrations/human interaction workflows. Built solutions on microservices architecture which reflected best practices for workflows based on Azure functions, logic apps, event hub, and API management. Provided support and monitored telemetry to maintain a 99.9% availability rate for the services managed by the team. Responded to LiveSite incidents and implemented fixes to prevent repeated incidents. Show less Worked in the Microsoft Digital organization, providing engineering and support for the foundational team's instance of ServiceNow and related systems integrations/human interaction workflows. Built solutions on microservices architecture which reflected best practices for workflows based on Azure functions, logic apps, event hub, and API management. Provided support and monitored telemetry to maintain a 99.9% availability rate for the services managed by the team. Responded to LiveSite… Show more Worked in the Microsoft Digital organization, providing engineering and support for the foundational team's instance of ServiceNow and related systems integrations/human interaction workflows. Built solutions on microservices architecture which reflected best practices for workflows based on Azure functions, logic apps, event hub, and API management. Provided support and monitored telemetry to maintain a 99.9% availability rate for the services managed by the team. Responded to LiveSite incidents and implemented fixes to prevent repeated incidents. Show less
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William & Mary
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United States
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Higher Education
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700 & Above Employee
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Student Researcher
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May 2018 - May 2019
Used computational techniques to study sleep-wake patterns in infant mammals. Work toward understanding the underlying neural circuitry causing these patterns using ordinary differential equations and modeling in Matlab.
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Resident Assistant
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Aug 2017 - May 2019
Facilitated development of community by creating opportunities for residents to interact. Mediated conflicts that may occur between roommates and among residents. Responded to crises and emergencies as directed in established protocols.
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mProve Health, a Signant Health Company
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United States
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Pharmaceutical Manufacturing
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1 - 100 Employee
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Project Management Intern
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May 2017 - Aug 2017
Worked on multi-disciplinary teams through all phases of project life cycles. Planned and implemented a 20-person product usage simulation. Prepared for data collection and tracking of an electronic clinical trial. Developed innovative solutions for overall product improvement. Worked on multi-disciplinary teams through all phases of project life cycles. Planned and implemented a 20-person product usage simulation. Prepared for data collection and tracking of an electronic clinical trial. Developed innovative solutions for overall product improvement.
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The National Institutes of Health
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United States
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Biotechnology Research
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700 & Above Employee
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Laboratory Assistant
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Jul 2014 - Dec 2014
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Education
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Johns Hopkins Whiting School of Engineering
Master's degree, Systems Engineering -
The College of William & Mary in Virginia
Bachelor's degree, Computational and Applied Mathematics and Statistics -
Thomas Jefferson High School for Science and Technology
High School