Alyssa Vanderbeek
Research Biostatistician at Unlearn.AI- Claim this Profile
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English Native or bilingual proficiency
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French Professional working proficiency
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Bio
Experience
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Unlearn.AI
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United States
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Research Services
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1 - 100 Employee
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Research Biostatistician
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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.
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Hospital for Special Surgery
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United States
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Hospitals and Health Care
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700 & Above Employee
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Biostatistician and Data Analyst
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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.
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The Institute of Cancer Research
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United Kingdom
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Research
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700 & Above Employee
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Postgraduate Student
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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).
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Columbia University Irving Medical Center
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United States
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Hospitals and Health Care
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700 & Above Employee
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Assistant Statistician
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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
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Columbia University Mailman School of Public Health
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United States
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Higher Education
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500 - 600 Employee
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Research Assistant
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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).
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The Data Science Institute at Columbia University
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United States
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Higher Education
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1 - 100 Employee
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Data Science Institute Scholar
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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.
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Dana-Farber Cancer Institute
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United States
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Hospitals and Health Care
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700 & Above Employee
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Research Assistant
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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.
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Boston University
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United States
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Higher Education
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700 & Above Employee
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Student - Summer Institute for Training in Biostatistics
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Jun 2015 - Jul 2015
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Education
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Columbia University Mailman School of Public Health
Master of Science - MS, Biostatistics -
Wheaton College (MA)
Bachelor’s Degree, Mathematics