Alyssa Vanderbeek

Research Biostatistician at Unlearn.AI
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US
Languages
  • English Native or bilingual proficiency
  • French Professional working proficiency

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Experience

    • United States
    • Research Services
    • 1 - 100 Employee
    • Research Biostatistician
      • Dec 2021 - Present

      Responsible for developing statistical methodology for PROCOVA and PROCOVA+ in new endpoints, diseases, and trial designs; asymptotically and through simulation. Active in clinical trial design and regulatory submissions. Responsible for developing statistical methodology for PROCOVA and PROCOVA+ in new endpoints, diseases, and trial designs; asymptotically and through simulation. Active in clinical trial design and regulatory submissions.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Biostatistician and Data Analyst
      • Aug 2021 - Nov 2021

      Primary statistician and data analyst for MRI technology research in joint injuries/conditions. Primary statistician and data analyst for MRI technology research in joint injuries/conditions.

    • United Kingdom
    • Research
    • 700 & Above Employee
    • Postgraduate Student
      • Oct 2020 - Jul 2021

      [Research position.] Conducted independent research on platform trial design. Published a rapid review of platform trials in COVID-19 (2021). [Research position.] Conducted independent research on platform trial design. Published a rapid review of platform trials in COVID-19 (2021).

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Assistant Statistician
      • May 2019 - May 2020

      Data analysis and statistical analysis plan for ROKHyT pilot study for hypertension Data analysis and statistical analysis plan for ROKHyT pilot study for hypertension

    • United States
    • Higher Education
    • 500 - 600 Employee
    • Research Assistant
      • Oct 2018 - May 2020

      (Master's Capstone) Phase I clinical trials that assess safety typically use the event of a dose-limiting toxicity as an endpoint. I extended a novel two-stage adaptive dose-finding trial design ("iAdapt") to quasi-continuous toxicity endpoint and published the corresponding R package iAdapt on CRAN (2019). (Master's Capstone) Phase I clinical trials that assess safety typically use the event of a dose-limiting toxicity as an endpoint. I extended a novel two-stage adaptive dose-finding trial design ("iAdapt") to quasi-continuous toxicity endpoint and published the corresponding R package iAdapt on CRAN (2019).

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Data Science Institute Scholar
      • Jun 2019 - Sep 2019

      Natural Language Processing and machine learning in R for clinical notes to predict future patient events. Natural Language Processing and machine learning in R for clinical notes to predict future patient events.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research Assistant
      • Oct 2016 - Jul 2018

      An original member of the Program in Regulatory Science at Dana-Farber Cancer Institute. First author on the group's first publication in 2018. Focus on trial data, meta-analysis, and methodology in phase II clinical trials for glioblastoma. An original member of the Program in Regulatory Science at Dana-Farber Cancer Institute. First author on the group's first publication in 2018. Focus on trial data, meta-analysis, and methodology in phase II clinical trials for glioblastoma.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Student - Summer Institute for Training in Biostatistics
      • Jun 2015 - Jul 2015

Education

  • Columbia University Mailman School of Public Health
    Master of Science - MS, Biostatistics
    2018 - 2020
  • Wheaton College (MA)
    Bachelor’s Degree, Mathematics
    2012 - 2016

Community

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