Michelle Guo Email & Phone Number

New York, NY, US

Boston, MA, US

Parsippany, New Jersey, US

GB

• Lead R&D analytics and innovation strategy for large pharmaceutical clients
• Create a COVID-19 prediction model to inform clients designing COVID therapeutics trials on site selection and country allocation strategies
• Design integrated release planning and advised on agile mechanics
• Create machine learning models based on historical client data to create a tool that provides real-time clinical trial cost forecasting capabilities

New York, New York, US

• Direct report to the CIO and serve as team lead of digital innovators embedded in clinical operations
• Act as internal-facing technogy consultant for different teams within the company, as well as the company's subsidiaries
• Led a team of clinicians and developers to design and build a HIPAA-compliant patient recruitment call center for enrolling clinical trials hosted in AWS
• Create clinical trial site dashboards by aggregating data from several different CROs to aid the clinical operations team in monitoring the performance of over 100 sites
• Interface with biotech, healthcare, and software vendors to determine possible investments and partnerships
• Improve productivity and efficiency of traditional drug development and commercialization pipeline by utilizing automation, data standardization, etc

Brentford, Middlesex, GB

• Work across several therapy areas within R&D to design studies, build disease cohorts, and identify target populations by querying large electronic health records (EHR) like Optum and MarketScan
• Oversee the migration of the UK Biobank dataset, which contains over 10TB of genotype data on 500,000 patients, onto the GSK R&D Information Platform through code reviews and consultations
• Perform a variety analytical tasks, such as regression analysis, predictive modeling for forecasting, and Markov decision treemodels using commercial and open source tools like R, SAS, and Python
• Demonstrate innovative usages of natural language processing and machine learning methods, such as text mining free-text hospitalization discharge fields from the DaVita EHR to determine the frequency of major adverse.
• Write protocols outlining analysis plans to support studies and create slide decks to present epidemiological findings to clinical, business teams, and relevant stakeholders

New Haven, CT, US

• Build database in Python of pneumococcus colonization in children of the US before and after the pneumococcal conjugate vaccine (PCV7) in order to examine the efficacy of the vaccine
• Simulate the dynamics of pneumococcal infection and disease after the introduction of adult and pediatric pneumococcal vaccination to see the prevalence of new serotypes that could be added to future vaccines

Chicago, IL, US

• Responsible for the well-being and mentorship of a 100+-member undergraduate housing community
• Act as the primary university resource for students in academic, medical, or personal crises
• Serve as an RA coordinator in a community of over 800 students and 20+ housing staff

Philadelphia, PA, US

• Student researcher for the Hospital of the University of Pennsylvania department of neurology
• Collect and analyze data on stroke centers, ambulance runs, and patient demographics in the United States to build an online map containing Joint Commission and DNV-certified stroke centers
• Present research at weekly journal clubs and published two abstracts for the 2014 International Stroke Conference

Master’S Degree, Epidemiology Of Microbial Diseases With Certificate In Regulatory Affairs

Bachelor'S Degree, Biology/Biological Sciences, Computational Neuroscience