Sara Pollard

Biomedical Engineering  ·  Tufts University

I am a PhD student in Biomedical Engineering at Tufts University, where I develop soft, wearable, silk-based biosensors and mobile machine learning tools for continuous health monitoring outside the clinic. My work brings together biomaterials, wearable sensing, and privacy-aware computational analysis to convert subtle biochemical signals into measurements that are robust, interpretable, and useful in real-world settings. In Tufts' Silklab, I design passive sensing platforms for applications ranging from dopamine detection in sweat to liner-integrated sensors for women's health, with the aim of making sophisticated physiological monitoring more accessible and deployable.

My commitment to this work is shaped by both how I grew up and why I chose engineering in the first place. On my family's cattle farm in Maryland, I learned to improvise, troubleshoot, and build with limited resources. Later, as my mother survived bouts of osteosarcoma and underwent limb-salvage surgery with a prosthetic humerus, I saw what engineering can mean at the human level. It can restore function, preserve independence, and change the course of a life. That perspective still guides my research today: the most meaningful technologies are not only innovative, but practical, equitable, and built for the realities of the people who use them.

Sara Pollard

Research

Biosensors, machine learning, and materials science at the intersection of biology and engineering — with an emphasis on real-world deployment and equity of access.

Summer Scholars research poster
Current

Silk-Based Biosensors for Health Monitoring

Silklab, Tufts University School of Engineering  ·  Spring 2023–Present

My research in Tufts' Silklab centers on passive, wearable silk-based biosensors for continuous biomarker monitoring. I have developed a skin-mounted dopamine sweat sensor that integrates uncertainty-aware calibration and on-device TensorFlow Lite inference for privacy-preserving analysis, as well as liner-integrated sensing platforms for vaginal health screening. This work was supported by the Tufts Summer Scholar Fellowship (Summer 2024).

Silk Fibroin Microfluidics TensorFlow Lite Python Arduino Wearables
Capstone project poster
Current

Silk-Based Wearable Sensor for Vaginal Health Monitoring

Silklab, Tufts University School of Engineering  ·  2025–2026

Developed a wearable health monitoring platform for real-time, non-invasive tracking of vaginal biomarkers using silk fibroin-based bioinks integrated into a microfluidic underwear liner. Optimized the microfluidic system for biomarker activation and fluid management, and built a machine learning ensemble model using image-based colorimetric analysis that achieved 78.46% accuracy in classifying vaginal pH levels. Designed a mobile app wireframe for intuitive biomarker visualization and personalized health insights.

Silk Fibroin Microfluidics Machine Learning Colorimetric Detection Wearables
USUHS research poster presentation
Past

ML for Heart Failure Prediction

Engler Lab, Uniformed Services University & Walter Reed  ·  Summer 2022

Applied machine learning to large-scale EHR datasets to predict heart failure survival rates in military patient populations. Handled missing data, evaluated algorithmic fairness, and communicated model outputs in clinically meaningful terms. Shadowed in prosthetics, orthotics, and occupational therapy at Walter Reed National Military Medical Center. HIPAA and lab animal handling certified.

TensorFlow Python EHR Data Healthcare ML Fairness

Publications

I value interdisciplinary work and have pursued a broad range of interests throughout my academic career. My current focus is on soft-wearable health sensors, but my published work reflects an enduring interest in data-driven analysis across domains.

Pollard, R.; Pollard, S.; & Streit, S. (2021). "Predicting Propensity to Vote with Machine Learning." arXiv preprint.

Pollard, S. (2021). "Penny Powers: Covert Hero of the Twentieth Century." SocArXiv preprint.

Teaching

Teaching has been an important part of my development as an engineer, leader, and communicator. I have taught MATLAB and Biomechanics to over 200 undergraduate students, with a focus on building engineering intuition alongside technical fluency.

ES2

Teaching Assistant — Engineering Systems II

Tufts University School of Engineering  ·  Spring 2023–2025

Led office hours, graded problem sets, and mentored students in MATLAB for engineering systems modeling and simulation. Helped debug code, explained core algorithms, and supported a cohort of 50+ undergraduates each semester through quantitative engineering coursework.

BME

Teaching Assistant — Biomechanics (BME 11)

Tufts University School of Engineering  ·  Fall 2024

Supported instruction in biomechanics fundamentals including rigid body mechanics, material properties of biological tissues, and computational modeling. Tutored, assessed, and mentored students one-on-one during office hours.

Skills & Tools

Programming
Python MATLAB C++ Arduino
Machine Learning
TensorFlow / Keras TensorFlow Lite scikit-learn Uncertainty Quantification
Wet Lab
CRISPR-Cas9 RNA Interference Western Blots Cell Culture Gene Cloning
Engineering
Microfluidics Silk Fibroin Sensor Integration Mechanical Design Prototyping
Certifications
HIPAA Lab Animal Handling

Curriculum Vitae

My full CV details research experience, publications, teaching, fellowships, and skills.

Download CV (PDF)
Institution
Tufts University School of Engineering
Current Program
PhD in Biomedical Engineering
Undergraduate Degree
BS in Biomedical Engineering, Minor in Engineering Management
Graduation
May 2025, Magna Cum Laude
Awards
Tufts Summer Scholar Fellow (2024)  ·  Comprehensive Student Research Training Program, USUHS (2022)

Beyond the Lab

Beyond the lab, I've been putting purpose to my runs by fundraising for Dana-Farber Cancer Institute. In November 2025, I completed my first half marathon, running the Boston Half Marathon with Team Dana-Farber while raising over $900 for cancer research. This fall, I'm excited to take on my first full marathon in Washington, D.C.

Sara running the Boston Half Marathon

Boston Half Marathon, November 2025 — running with Team Dana-Farber

Finishing moment — Boston Half Marathon medal

Contact

I'm always happy to discuss research, collaboration, or graduate school. The best way to reach me is by email.