# Caitlin Kunchur

> SWE @ Insitro | Digital Health Enthusiast

Location: Stanford, California, United States
Profile: https://flows.cv/caitlinkunchur

## Work Experience
### Software Engineer II (LIMS) @ insitro
Jan 2025 – Present | South San Francisco, California, United States

### Software Engineering Intern (LIMS) @ insitro
Jan 2024 – Jan 2024 | South San Francisco, California, United States
Worked with LIMS team on biological assay experimental planning and visualization tooling.

### Software Developer @ Stanford Byers Center for Biodesign
Jan 2023 – Jan 2024 | Stanford, California, United States
Full stack developer for clinician data viz dashboard template to integrate into Stanford Spezi framework.

### Data Engineering Intern @ Calico Life Sciences
Jan 2023 – Jan 2023
Developed cloud-backed, scalable vector similarity search/visualization app for MRI and cell painting data

### Project Manager + Full Stack Developer @ Stanford University
Jan 2023 – Jan 2023
• Developed PAWS, an iOS application and clinician web dashboard leveraging Apple Watch data to automate collection and FHIR-encoded storage of ECG tracings and patient reported symptoms in pediatric patients presenting with arrhythmia 
• In collaboration with Stanford pediatric cardiologists and CS 342 group

### Designing Language Models for EHR Data Abstraction @ Stanford University School of Medicine
Jan 2022 – Jan 2023 | Stanford, California, United States
• Predicted sarcoma diagnosis via TF-IDF processing of pathology reports and selective binary classification
• Developed regular expressions to abstract outcomes from pathology reports for Moyamoya patients
• Collaborated with Stanford medical students and clinicians for data analysis

### Retinal Image Processing Research Assistant @ Byers Eye Institute at Stanford
Jan 2022 – Jan 2023 | Stanford, California, United States
• Wrote algorithms to automate selection of SLO reference frames from for retinal image registration 
• Designed troubleshooting program in WxPython to visualize cross-correlation between two images
• Designed custom mount in CAD for electrophysiology camera

### Ophthalmology Undergraduate Research Assistant @ Byers Eye Institute at Stanford
Jan 2021 – Jan 2022 | Stanford, California, United States
• Wrote scripts to optimize a pipeline (3DPhyloFold) for large-scale structural phylogeny analysis with
applications for repurposing in ocular inhibition strategies 
•  Formulated sustained release drug delivery systems for treatment of ocular disease (TCA encapsulated multilamellar liposomes and PLGA ocular drug implants)

### Spokesperson & Centrifuge Team Lead for Project CoVer @ Stanford Students in Biodesign and Biopharma
Jan 2020 – Jan 2021 | Stanford, California, United States
•    Worked with fellow Stanford students to develop an accessible protocol for IgY intranasal formulation for prevention of COVID infection in resource-limited settings
•    Led design of an open source, 3D-printed adaptor for a makeshift food processor centrifuge
•    Winner of 2021 Biodesign Health Technology Showcase “Most Compelling Need” Award
•    Co-first author of manuscript in Journal of Global Health: Affordable IgY-based antiviral prophylaxis for resource-limited settings to address epidemic and pandemic risks

### Neuroscience Research Assistant @ University of South Carolina School of Medicine
Jan 2019 – Jan 2019 | Columbia, South Carolina, United States
Characterized frequency spectra of theta-rhythm oscillations in pyramidal amygdala cells and analyzed PV & CCK interneuron oscillation generation after inhibition by drugs WIN and DAMGO

### Speech & Hearing Research Assistant @ University of South Carolina Speech & Hearing Research Center
Jan 2017 – Jan 2017 | Columbia, South Carolina, United States
• Analyzed patients' accuracy in word identification in simulated adverse listening conditions to determine most important speech cues (relevant for improving hearing aid technology involved in separating speech from noise)
• Specifically observed correlation between accuracy and phoneme type, gender, and age.


## Education
### Master of Science - MS in Computer Science - Human Computer Interaction
Stanford University

### Bachelor's degree in Biomedical Computation
Stanford University

### High School Diploma
Dutch Fork High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/ckunchur

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Source: https://flows.cv/caitlinkunchur
JSON Resume: https://flows.cv/caitlinkunchur/resume.json
Last updated: 2026-04-11