Kevin Guo • Resident Physician

Education & Training

Anesthesiology Residency

University of Washington Department of Anesthesiology and Pain Medicine
- 2024 - 2028 (Expected)
Doctor of Medicine

Vanderbilt University School of Medicine
- Vanderbilt Program in Interprofessional Learning: selected as one of ten medical students for two-year longitudinal program to learn alongside pharmacy, nursing, social work, and counseling students and implement a quality improvement project in adult malignant hematology clinic
- Led Vanderbilt Pride in Medicine (LGBTQ+ medical student advocacy, education, and affinity group) as co-president from 2020-2022
- Chaired Student Technology Committee as liaison between students, faculty, and office of educational informatics from 2022-2024
- Served as clinical informatics interest group leader from 2023-2024
- 2020 - 2024
Bachelor of Science

Brown University
- Major: Applied Mathematics, Computer Science, and Chemistry
- 2016 - 2020

Scholarly Work

Patient and Community Characteristics Associated with Rates of Accessing Sensitive Results Before Provider Follow-up after Open Notes Rollout

Vanderbilt University Medical Center Department of Biomedical Informatics (Mentor: Dr. Bryan Steitz)
- Analyzed four years of VUMC patient portal usage data (>250,000 total patients) to characterize demographics of patients who view their test results on patient portals and elucidate social determinants of result viewership
- Explored associations between result viewership and healthcare utilization (portal messages, hospital admissions, and urgent care visits)
- Outcome: one poster presentation, one manuscript in preparation
- 2022 - 2024
Incorporating Routine Screening for Financial Toxicity Using a Two-Item Screening Tool in an Outpatient Oncology Clinic

Vanderbilt Program for Interprofessional Learning (Mentor: Dr. Melissa Hilmes)
- Co-led, alongside nurse practitioner student and pharmacy student, a quality improvement project for financial toxicity screening for patients with malignant hematologic diagnoses presenting to outpatient clinic for follow-up
- Outcome: one poster presentation
- 2020 - 2022
Classifying Tumors by Collagen Expression Reveals Microenvironment Genome Interactions

Brown University Department of Pathology (Mentor: Dr. Alexander Brodsky)
- Performed k-means clustering of TCGA tumors by minor collagen expression and analyzed clusters for overall survival, immunoenvironment, oncogenemutations, copy number change, cancer hallmarks, and aneuploidy.
- Developed SVM machine learning models to predict tumor genome alterations fromcollagen expression patterns
- Outcome: one published abstract, two published papers, and one patent application filed
- 2019 - 2023

Programming Projects

Pipeline for Offline Conversion and Integration of Geocodes and Neighborhood Data (POINT)

Vanderbilt Clinical Informatics Center
- Developed web-based, containerized, application for geocoding addresses into geographical coordinates and census divisions that can be deployed offline and made available to multiple users across an organization
- Built web graphical user interface and REST-ful application programming interface to query geographic variables, by census tract, without exposing sensitive patient data
- Rolled out at Vanderbilt University Medical Center as a part of the Clinical Informatics Center
- Published open source on GitHub with associated publication in Applied Clinical Informatics that includes more detailed write-up and performance validation
- Technologies used: Python, GIS, SQL, Docker, FastAPI, HTML
Interactive Programming Notebook to Teach Medical Students Data Science for Clinical Research

Vanderbilt School of Medicine Student Technology Committee
- Developed Jupyter notebook hosted on Google Colaboratory developed for medical students working on clinical research with minimal programming background
- Centered learning objectives and content around PICO format of conceptualizing clinical research questions
- Covered basic dataframe manipulation and several commonly used statistical tests/models (odds ratios, chi-squared tests, t-test, logistic regression)
- Designed built-in knowledge check with custom dataset and sample PICO
- Published open source on GitHub
- Technologies used: Jupyter Notebook, Python, REDCap