Arash Alavi — Stanford Medicine

About

I am the Director of Software Engineering at the Stanford Deep Data Research Center and a lecturer at Stanford University. My work focuses on digital health–building secure, scalable, and intelligent platforms for real-time precision medicine.

Research interests: Software Engineering, Digital Health, Wearable Time-series Data Analysis, AI/ML, Security & Privacy, Mobile Apps, and Cloud Computing.

News

Aug 2025 Our paper got published in Nature Communications Medicine: Achieving inclusive healthcare through integrating education and research with AI and personalized curricula. Platform: SDO
Jan 2025 Samsung and Stanford collaboration to advance sleep apnea detection and beyond: Galaxy Watch Sleep Apnea
July 2024 Our paper on Wearable Diabetes and LLMs on medRxiv: Perspective on Harnessing Large Language Models to Uncover Insights in Diabetes Wearable Data
Jan 2024 Led efforts in the AI‑READI Wearable Data Standards module: https://aireadi.org/team
June 2023 Presented “Wearable Sensors for Personalized Detection of Stress Events” at Cardio Sensors 2023: Cardio Sensors 2023
May 2023 Peer review for PLOS ONE and npj Digital Medicine: https://orcid.org/0000-0002-7245-6889
Jan 2022 Our paper got published in Nature Medicine: Real-time alerting system for COVID-19 and other stress events using wearable data. Source Code: NightSignal Infection Detection Algorithm
Oct 2021 Our paper got published in Nature Communications: A scalable, secure, and interoperable platform for deep data-driven health management.
Nov 2020 Our paper got published in Nature Biomedical Engineering: Pre-symptomatic detection of COVID-19 from smartwatch data.

Projects

MyPHD (My Personal Health Dashboard)

Secure and scalable framework for biomedical big data acquisition, storage, and real-time analysis, supporting more than 20 research studies and serves over 12,000 participants.

https://myphd.stanford.edu/

SDO (Stanford Data Ocean)

A cloud-based, serverless, LLMs-powered platform for researchers and learners to seamlessly access and analyze large biomedical datasets.

https://dataocean.stanford.edu/

Galaxy Watch Sleep Apnea

Samsung and Stanford project to initiate an innovative health solution based on Samsung’s obstructive sleep apnea (OSA) feature which has received De Novo.

Samsung<>Stanford OSA

Bridge2AI AI-READI Wearable Standard

Wearable (Activity tracker and CGM) standardization efforts within the NIH's flagship AI-READI project.

AI-READI Dataset

NightSignal

Real-time alerting algorithm for infection and stress events from wearable data.

Source code

Wearables Isolation Forest

Isolation‑Forest‑based anomaly detection for Fitbit and Apple Watch signals.

Source code

AndroidSlicer

Dynamic slicing tool for testing, debugging, and security for Android apps.

Source code

Selected Publications

Nature Communications Medicine (2025). Achieving inclusive healthcare through integrating education and research with AI and personalized curricula. Bahmani A.*, Cha K.*, Alavi A.*, Dixit A.* et al.
Nature Metabolism (2024). AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond. AI-READI Consortium
Nature Medicine (2022). Real‑time alerting system for COVID‑19 and other stress events using wearable data. Alavi A.*, Bogu G.K.*, Wang M.*, et al.
Nature Communications (2021). A scalable, secure, and interoperable platform for deep data‑driven health management. Bahmani A.*, Alavi A.*, et al.
Nature Biomedical Engineering (2020). Pre‑symptomatic detection of COVID‑19 from smartwatch data. Mishra T.*, Wang M.*, Metwally A.A.*, Bogu G.K.*, Brooks A.W.*, Bahmani A.*, Alavi A.*, et al.
ICSE (2019). Dynamic Slicing for Android. Azim T., Alavi A., Neamtiu I., Gupta R.
ISC (2019). When The Attacker Knows A Lot: The GAGA Graph Anonymizer. Alavi A., Gupta R., Qian Z.

Teaching & Service

Stanford University

GENE 222 / CS 273C / BIOMEDIN 222

Cloud Computing for Biology & Healthcare.

Reviewer & Committees

npj Digital Medicine
PLOS ONE
OOPSLA (Artifact Evaluation Committee)
Scientific Reports, JVLC, COMLAN, MICRO, IEEE QRS, CASES, LANMAN, ACM ASIACCS

Interns and Collaborators

Photo	Name	Position
	Stephanie Waldrop	Assistant Professor, Louisiana State University
	Lauryn Bruce	Postdoctoral Researcher, UCSD
	Qiwen Wang	Software Engineer, Meta
	Kexin Cha	Senior Product Designer, Stanford University
	Sushil Upadhyayula	Master's Student, CS, Stanford University
	Diego Celli	Software Engineer, LinkedIn
	Delara P Esfarjani	Undergrad Engineering Student
	Aishwarya Srinivasan	Data Scientist, Google
	Claire Muscat	Master's, CS, Stanford University
	Gregory Young	Master's Student, CS, MIT University
	Jason Kenichi Li	Master's Student, CS, Stanford University
	Pramod Kotipalli	Master's Student, CS, Stanford University
	Lisa Liao	Master's Student, CS, Stanford University
	Camille Lauren Berry	Master’s Student, Stanford Design Impac
	Katherine Grace Van Winkle	Lead Product Designer, Reliant Immune Diagnostics