Functional Skills

Data Modeling
Data Visualization / Reports
Statistical Analysis
Data Science
Data Strategy
Real World Data (RWD) Strategy
Real World Evidence (RWE) Strategy
Data Engineering
Data Governance
Product Data Management

Software Skills

Python
SQL
R
SAS
Java
LaTeX
Linux
Machine Learning
MacOS
Microsoft Office

Sector Experience

Healthcare
Technology

Languages

English

Experience

Braynstorm Analytics LLC Data Science / Analytics
Freelance Data Science Consultant
10/2021 - Present
Braynstorm Analytics LLC is my LLC focusing on working with biotech/pharma to build and expand data science, statistics, and RWD capabilities. Current focus is on building data science/bioinformatics pipeline allowing early stage startup to predict genetic expressions from uncollected tissues.
Eisai Data Science / Analytics
Associate director market value and acces, data science
1/2021 - 10/2021
Leading data science efforts for RWD/RWE (real-world data/evidence) within the Alzheimer’s Disease franchise including epidemiological assessment of patient population and evaluation of disease progression/diagnostic journey using CMS data. NLP study design, advanced analytics for market value and access, algorithm oversight for AD patient identification.
Alexion Pharmaceuticals Data Science / Analytics
Senior Data Scientist
2/2018 - 1/2021
Biomarker discovery/development for hemolytic diseases, advanced analytics for RWD (real-world data), and algorithmic oversight for advanced clinical-trial applications and infrastructure for cloud data warehousing. Manage outside consultants. Lead companywide actions regarding RWD/RWE including collaboration with HEOR (health economics & outcomes research), epidemiology, IT, and commercial groups to evaluate data sources, platforms, and use cases.
Tessella Data Science / Analytics
Analyst Programmer/Data Scientist
3/2016 - 2/2018
Embedded within Alexion Pharmaceuticals for majority of time in role. Designed, built, tested, and integrated predictive diagnostic-support algorithms. Presented results to key stakeholders at hospital partners (Boston Children’s, Rady Children’s). Designed modular, parallelized algorithm using Bayesian statistics, Human Phenotype Ontology, and genomic data that detected and diagnosed patients with rare diseases. Applied algorithm to RWD, analyzed outcomes, presented results.
Northeastern University Data Science / Analytics
Postdoctoral Fellow
9/2015 - 3/2016
Reported to lab principal investigator, Alessandro Vespignani. Expanded lab pandemic-modeling capabilities by creating full-size synthetic Canadian population model. Increased accuracy of lab influenza case-prediction algorithm by incorporating insights from data analysis into model.