Bridget Bertoni, Phd Email & Phone Number

- Created the study population for Medicare members with falls and developed models to predict initial and subsequent fall risk as well as clustering models to identify clinical profiles to inform intervention design, using Pyspark Azure databricks- Applied model interpretability methods (SHAP, LIME, EBM) and causal inference models (econML) to evaluate.

- Led discussions with customers and subject matter experts to determine data science solutions with the highest business impact- Led the data science effort to create and operationalize an ML-based search algorithm over 4 million documents stored in a SQL DB using TF-IDF, Word2Vec, and serverless compute- With a team, designed and operationalized a search.

Burlingame, CA

- Developed payment models to forecast Medicare spending for sepsis - Proposed needed changes to the two-equation regression model for Medicare's $12 billion ESRD payment system (ESRD PPS) to improve accuracy and prevent gaming of the payment system- Redesigned and automated payment forecasting code to set payment rates and analyze impact- Constructed.

- Utilized Monte-Carlo methods, Python, and bootstrapping to calculate correlation functions in Milky Way stellar data and simulated data to search for dark matter substructure- Initiated original research to study gravity wave signals to search for dark matter

- Applied quantum field theory in novel scenarios to constrain parameters in dark matter models- Solved non-linear equations in Mathematica and Python to find and visualize mathematical results

- Graded homework and exams and substitute-lectured for undergraduate and graduate physics courses in statistical mechanics, electricity & magnetism, quantum mechanics, and particle physics- Taught introductory physics labs and problem solving/discussion sections

- Wrote Python and shell scripts to analyze data from the Fermi Large Area Telescope (describing thousands of astrophysical objects) and found statistically significant hints of dark matter- Evaluated statistical significance of model fits using Poisson statistics and a log-likelihood analysis

Master'S Degree (2012), Phd (2015), Theoretical Particle Physics

Activities and Societies: Mentor in the Physics Mentoring Program, Co-organizer of the Particle Theory Journal Club

Bachelor Of Science (B.S.), Physics And Mathematics