Experienced Data Scientist with strong research history in Oncology Research and biological modeling. Interested in using data science skills in other fields.
Location
Boston, MA
Education
T
Tufts University
August 2014 - May 2018
degree
Bachelor's
major
Chemical Engineering
minor
Computer Science
coursework
R ● Python ● C++ ● Matlab ● Bash ● Java ● Javascript ● HTML ● Node.js ● Deep Learning ● Machine Learning ● Linear Algebra ● Multivariable Calculus ● Differential Equations ● Data Structures and Algorithms ● Web Programming ● Physical Chemistry ● Organic Chemistry ● Biochemistry ● Excel ● Powerpoint
Work Experience
A
AstraZeneca
RD Graduate Associate
Waltham, MA, United States of America
September 2018 - present
company
AstraZeneca
title
RD Graduate Associate
overview
• Placement 2: Oncology Bioinformatics September 2018 to April 2019
• Performed high-throughput data analysis on data from both UKBB and Tempus datasets
• Derived polygenic risk score to stratify patient cancer risk
• Created additive genetic models to test association between HLA alleles and cancer risk
• Conducted association analysis between mutation data and expression data to generate targets
•
• Placement 1: Clinical Pharmacology and Safety Sciences May 2019 to Present
• Designed approach to drug toxicity prediction using novel features
• Implemented a Random Forest for disease classification
• Explored use of transfer learning in drug toxicity prediction within different organ systems
• Implemented external prediction models and redesigned them for internal use