Research Portfolio

Below I have listed some of my key research projects. In each section, I list major takeaways plus relevant examples of blog posts, posters, presentations, and papers. For more information, please visit the Projects section or contact me at sarah.glomski@duke.edu.

Surgical Education and Activities Laboratory (August 2024 – Present)
Graduate Researcher

Summary:

  • Spearheading a cross-functional research project in collaboration with the Duke Medical School and Ni Lab
  • Designing a sensor-integrated tissue model to measure stress during suturing to quantify surgeon performance
  • Improving training in surgical robotics by creating ML algorithms to give real-time feedback on robotic suturing

Media:

Los Alamos National Laboratory (May 2023 – August 2024)

Non-Destructive Testing & Evaluation Engineer (Part-time during school)

Summary:

  • Optimized quality assurance of nuclear detonators to help monitor and preserve the U.S. nuclear stockpile
  • Streamlined CT artifact research by creating a framework to connect simulation and reconstruction software
  • Developed methods to apply the ASTM E1695 Standard for CT system QA to artifact characterization
  • Developed a new CT calibration method with an 88% reduction in error and 80% reduction in noise sensitivity compared to the current standard; incorporated this technique into the existing CT pipeline
  • Simulated the effects of CT cabinet misalignment to teach radiographers how to diagnose various CT artifacts
  • Shared findings with an esteemed podium presentation to the Non-Destructive Testing & Evaluation division

Media:

Robotics Projects (August 2020 – December 2024)

Media:

Duke BME Medical Device Design Course (August 2023 – May 2024)

Senior BME Student

Summary:

  • Collaborated with 3 other BME seniors over 2 semesters to develop a medical device for monitoring diabetic foot ulcers in diabetic patients; filed IP disclosure and abstract accepted into Adv. Tech. & Treatments for Diabetes
  • Developed multi-model sensors to detect pre-ulcerative calluses via skin temp and modulus within 88% accuracy
  • Derived novel formulas for spherical skin indentation to back-calculate skin modulus based on force applied
  • Presented results at the 2024 Diabetic Lower Extremity Symposium (DLES) and Duke Engineering Design Symposium

Media:

Injury Biomechanics Laboratory, Duke University (January 2021 – May 2024)
Undergraduate Research & Independent Study Student (x3)

Summary:

  • Developed methods for collecting and processing kinematic data from sensors in high school football players’ ears
  • Trained deep learning models to classify sub-concussive head impacts from practice data and simulated data
  • Applied Gradient Class-Activated Mapping (Grad-CAM) to assess and visualize model decision-making processes
  • Presented findings to hundreds of engineers at the annual Biomedical Engineering Society (BMES) conference
  • Earned the SMIF Undergraduate User Program (SUUP) grant for characterizing lumbar spine injuries from micro-CT scans of crushed cadaver vertebrae
  • Devised an experimental setup for cyclic load testing on post-mortem human subject (PMHS) lumbar spines
  • Assisted PhD candidates with literature reviews, simulated data collection in LS-DYNA, and CAD design

Media:

Duke BME Vehicle Safety Design Course (August 2023 – December 2023)
Senior BME Student 

Summary

  • Worked with 3 other BME seniors to develop a new biomechanical neck model for protecting children in car crashes
  • Developed performance corridors and evaluation metrics to assess model performance based on literature data
  • Shared results with a poster presentation at the 2023 Duke Engineering Symposium

Media:

DOmath Program, Duke University (May 2021 – July 2021)
Undergraduate Researcher

Summary:

  • Developed and implemented a new algorithm for more accurate targeted radiation therapy of a region of interest
  • Derived formulas to create algebraic reconstruction algorithms to solve computational inverse problems
  • Presented findings at the DOmath Research Symposium and authored a manuscript

Media:

Human Neuromechanics Laboratory, University of Florida (June 2019 – August 2019)

Summary:

  • Streamlined the EEG and EMG data-collection process for participants in a kinematic brain study
  • Designed a device capable of isolating and removing neck muscle artifacts from EEG data
  • Won the Best BME Research Paper Award (85+ participants)

Media:

  • SSTP Poster — presented at the Student Science Training Program Symposium
  • SSTP Presentation — presented internally at the Student Science Training Program
  • SSTP Paper — received the Best BME Research Paper Award (85+ participants)