Elizabeth Smith
Shoreline,WA
Summary
Results-driven leader adept at guiding high-performing teams and implementing strategic initiatives to drive business success. Known for fostering collaborative environment and achieving measurable milestones. Exhibits strong leadership and adaptability to changing business needs.
Overview
21
21
years of professional experience
Work History
Senior Director of Data Science
Arine
01.2025 - Current
- Lead AI/ML strategy to enhance Arine’s medication management platform, improving clinical workflows and reducing total cost of care (TCOC).
- Provide strategic insights from AI research and health outcomes analysis to guide product and program development.
- Manage a high-performing, distributed team of Data Scientists, ML Engineers, and Health Economics and Outcomes Researchers.
- Oversee research and development of GenAI/LLM capabilities (e.g., SOAP note generation, named entity recognition, pipeline QA).
- Partner cross-functionally with Product, Engineering, and Clinical teams to align Data Science initiatives with company goals.
Director of Data Science
Arine
04.2023 - 01.2025
- Built and deployed ML models to identify patients for medication optimization programs in a fair and unbiased way.
- Led rigorous statistical analysis to estimate the causal impact of Arine’s clinical programs on TCOC and healthcare utilization.
- Established Arine’s AI governance capabilities to ensure responsible ML deployment, align with customer audit standards, and support enterprise trust in AI-driven decision-making.
- Collaborated with engineering and product teams to ensure seamless implementation of AI-driven features.
Director of Data Science
Veris Health
01.2022 - 01.2023
- Led development of AI/ML and analytic features into oncology-focused remote patient monitoring platform.
- Designed and deployed an AI system to automate clinical progress note generation from patient-reported data and insights collected from data generated from wearable devices.
- Established a prioritized roadmap, including detailed plans to research, develop, and deploy science-based, FDA-compliant, data-driven AI and analytics capabilities into the platform.
- Remote
Data Science Health Innovation Fellow
UC San Francisco (UCSF) Bakar Center for Computational Health Science Institute & UC Berkeley Institute for Data Science
01.2020 - 01.2022
- Built innovative AI-based tools for healthcare through a fellowship fully-funded by Johnson & Johnson.
- Trained Deep Learning models to segment cancerous lesions from 3D PSMA PET/CT scans.
- Designed and executed a retrospective matched cohort study to estimate the causal effect of PSMA PET scans on patient outcomes using EHR data in partnership with stakeholders from Janssen.
- Remote
Staff Data Scientist & Tech Lead
Orbital Insight
01.2015 - 01.2020
- Developed fully-automated AI-based commercial geospatial software products.
- Guided small teams of cross-functional engineers developing data ingestion pipelines, RESTful APIs, and Deep Learning-based Computer Vision models.
- Used unsupervised learning to characterize patterns and anomalies in geospatial time series datasets.
- Developed Computer Vision algorithms to identify objects and other features from multispectral satellite imagery.
Postdoctoral Research Fellow - Department of Anatomy
UCSF School of Medicine
01.2011 - 01.2014
- Developed a 3D reconstruction algorithm to process images from a one-of-a-kind soft x-ray microscope and an optimization sequence to align two reconstructions from the same biological specimen in 3D.
- Created a software toolbox to segment 3D cells into different regions based on linear absorption coefficient and generate candidate biomarkers for cellular features from 3D reconstructions.
- Researched the relationship between nuclear architecture and epigenetics using funding provided by a UCSF Program for Breakthrough Biomedical Research Award.
- Published results in 10 peer-reviewed articles (Google Scholar - 650+ total citations); presented at national conferences; received press coverage in The New York Times, Discovery, and others.
Biophysics Graduate Research Assistant - Department of Chemistry
University of Wisconsin, Madison
01.2006 - 01.2011
- Contributed to our understanding of the molecular mechanisms of synaptic transmission; dissertation title was “Kinetics of SNARE-Driven Membrane Fusion in Reconstituted Single-Vesicle Fluorescence Resonance Energy Transfer-Based Assays”
- Designed and conducted experiments to characterize the kinetics of biomolecular interactions involved with synaptic transmission and numerical simulations to validate the experiential findings.
- Developed an image processing pipeline to automatically identify 1000s of biomolecular interaction events from microscopy videos and quantify their relevant physical properties as a function of time.
Postbaccalaureate Research Fellow - National Institute of Diabetes and Digestive and Kidney Diseases
National Institutes of Health (NIH)
01.2005 - 01.2006
- Conducted independent research in a large, productive structural biology lab on the NIH campus.
- Optimized conditions to express, purify, and crystallize a protein-DNA complex.
- Collected preliminary x-ray diffraction data.
Education
PhD - Biophysics
University of Wisconsin, Madison
Madison, WI05-2011
Bachelor of Arts - Physics
Pomona College
Claremont, CA05-2005
Skills
- Collaborative leadership
- Software development
- Applied AI/ML
- Causal inference
Affiliations
OpenAI Forum Member
San Francisco, CA
Pharmacy Quality Alliance Member
Alexandria, VA
Sequoia Capital Ascent Leadership Trainee
San Francisco, CA
Biophysical Society Member
Rockville, MD
Timeline
Senior Director of Data Science
Arine
01.2025 - Current
Director of Data Science
Arine
04.2023 - 01.2025
Director of Data Science
Veris Health
01.2022 - 01.2023
Data Science Health Innovation Fellow
UC San Francisco (UCSF) Bakar Center for Computational Health Science Institute & UC Berkeley Institute for Data Science
01.2020 - 01.2022
Staff Data Scientist & Tech Lead
Orbital Insight
01.2015 - 01.2020
Postdoctoral Research Fellow - Department of Anatomy
UCSF School of Medicine
01.2011 - 01.2014
Biophysics Graduate Research Assistant - Department of Chemistry
University of Wisconsin, Madison
01.2006 - 01.2011
Postbaccalaureate Research Fellow - National Institute of Diabetes and Digestive and Kidney Diseases
National Institutes of Health (NIH)
01.2005 - 01.2006
PhD - Biophysics
University of Wisconsin, Madison
Bachelor of Arts - Physics
Pomona College
AWARDS
UCSF Program for Breakthrough Biomedical Research
Independent Research Award
NIH Intramural Research
Training Fellowship
Pomona College Richard P. Edmunds Prize
Top graduating Physics student
Sigma Xi
The Scientific Research Honor Society