Dr. Ellie Strandquist

Computer Scientist
and Engineer

I use machine learning, data science and multi-disciplinary collaboration to translate biomedical technologies to real-world environments.

I earned my Ph.D. in Computer Science using AI and data science to engineer an at-home Deep Brain Stimulation therapy platform for investigating automated treatments for Parkinson’s disease, in a multi-institutional collaboration. Learn more about my work here, and find my CV here.

+1 434-270-2032

Research Experience

National Science Foundation Graduate Research Fellow – University of Washington, 2019-2024

I worked with a multi-institutional research team to develop an at-home multimodal data collection platform for optimizing adaptive deep brain stimulation therapy for people with Parkinson’s disease. We remotely deployed the platform to a research participant’s home, and I created assessments of movement quality from video and wearable-sensor data to remotely monitor symptom severity.

Neuromodulation Research and Advanced Concepts Co-op – Boston Scientific, 2023

I researched algorithms and data analysis to guide surgical implantation of Deep Brain Stimulation therapy.

Paul G. Allen First-Year Ph.D. Fellow – University of Washington, 2019-2020

I researched neural network architectures to decode speech and everyday human behaviors from brain data. My research proposal for this work won the highly competitive National Science Foundation Graduate Research Fellowship.

Undergraduate Research Assistant – Virginia Commonwealth University, 2014-2019

I developed tools for genomics-based classification problems through deep neural networks and natural language processing.

Consultant and Research Assistant – University of Virginia, 2014-Present

I conduct investigative research and analyses in support of large intellectual property and patent litigations in several subareas of computer science.

Languages & Tools

Expert: Python, Java, Bash, TensorFlow, Keras, Git, Apache Maven, LaTaX, Pandas, Scipy, Scikit-learn, Numpy, Matplotlib, Plotly, Jupyter Notebook, Rclone

Proficient: R, MATLAB, SQL, JavaScript, Perl, C#, C, Android developer, Altair, UMAP, AWS, AI2THOR, Unity