Audrey Lacy Email & Phone Number

United States

Boston, Massachusetts, United States

Department of Data Science & Hale Center for Pancreatic Cancer Research

Baltimore, Maryland, United States

• 2023 Academic Year Provost Undergraduate Research Award (PURA) recipient• 2022 Leong Undergraduate Summer Research Fellowship recipient• Assisted graduate student with research project investigating the impact of high-resolution MRI on the construction of personalized computational heart models• Helped define, alter, and independently executed modeling and simulation protocol on a cohort of patients suffering from post-myocardial infarction ventricular tachycardia• Performed independent work, such as LGE-CMR imaging segmentation, image interpolation, and meshing in preparation for creating geometrically reconstructed electrophysiological cardiac models• Conducted and analyzed computational cardiac simulations in order to identify ventricular reentrant circuits and execute computational cardiac ablations

Baltimore, Maryland, United States

• Supported student learning of fundamental computational medicine concepts and techniques in MATLAB, including applying biophysical laws to data, using statistical modeling techniques to predict disease, and analyzing the results of various models and simulations of physiological systems• Assisted students in the completion of hands-on team projects involving data analysis, software development, and simulation • Offered weekly office hours to supplement course content knowledge and guide students through challenges

Cambridge, Massachusetts, United States

• Spearheaded imaging component of project exploring the value of integrating human genetics, brain imaging, biomarkers, and clinical data using transfer learning of computer vision models for brainaging using T1w MRIs• Developed semi-automated pre-processing pipeline that accepts raw patient DICOM directories and uses Python, Bash, and MATLAB scripts to pre-process, segment, and register each patient’s brain to MNI space• Pre-processed approximately 1,100 patients using self-created semi-automated pipeline on a high-performance computing cluster via SLURM job scheduler• Augmented existing deep learning pipeline to be able to integrate patients from multiple datasets including UK Biobank and multiple internal Takeda studies• Performed deep learning experiments on approximately 40,000 patients investigating the value of the model at the patient and cohort level and the impact of using 2D or 3D convolutional neural networks • Fine-tuned deep learning model to account for performing regression on imbalanced age data• Presented and shared work across the U.S. and Japan via presentations, poster sessions, documentation on company Atlassian pages, S3 URI links to project scripts on AWS, and packaging scripts in a Singularity container

• 2023 Discovery Award recipient• 2023 Catalyst Award recipient• Co-led the computational subgroup team working to devise a solution to minimize the over and under-sedation of critically ill children in the pediatric intensive care unit (PICU)• Programmed Python functions to prepare, pre-process, and visualize approximately 500 patients’ electronic health records and physiological time series data in preparation for feature selection and XGBoost algorithm development• Wrote the methods and study statistics portions of an approved IRB protocol that will allow our team to perform a retrospective computational PICU sedation study• Investigated the clinical problem through shadowing in the PICU, participating in an informal literature review, and conducting informational interviews with various stakeholders

• Supported student learning of fundamental data science concepts and techniques in Python, including linear and nonlinear regression, classification, clustering, and dimensionality reduction• Assisted students in the completion of practice worksheets on Jupyter Notebook & guided student progress on final capstone project applying supervised and unsupervised learning techniques to real data• Offered weekly office hours to supplement course content knowledge and guide students through challenges

Lexington, Massachusetts, United States

• Taught robotics and Roblox curriculum to elementary and middle school students• Assisted students in personalizing their projects with Lua script• Collaborated with coworkers on ideas for best curriculum implementation and modifications• Adapted daily lesson plan to the needs of the individual students

Bachelor Of Science - Bs, Biomedical/Medical Engineering, 3.91 Gpa

Activities and Societies: Tau Beta Pi - Engineering Honor Society, Alpha Eta Mu Beta - Biomedical Engineering Honor Society, Biomedical.

High School Diploma, 98.36/100 Unweighted

Activities and Societies: Founder and Student Leader of Women in STEM Club, Co-Captain of Rambots Robotics Team

Summer@Brown, Biomedical/Medical Engineering

Summer 2019 - Drug Discovery: Treating Human Disease Through Medicine Summer 2018 - Engineering Biomedical Systems